{"jobs":[{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4412191009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4238606009,"location":{"name":"In Office - San Jose, California"},"metadata":null,"id":4412191009,"updated_at":"2026-09-19T11:59:11-04:00","requisition_id":"128","title":"AI Agentic Workflow Reviewer","company_name":"Innodata Inc.","first_published":"2026-09-19T11:59:11-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re building a dedicated reviewer team to evaluate complex, real-world agentic AI workflows, assessing whether AI agents complete tasks safely, respect user intent and consent, and hold up under close scrutiny. This isn\u0026#39;t routine content moderation: reviewers work through ambiguous, multi-step scenarios where judgment calls matter as much as checklists. You\u0026#39;ll operate inside isolated test environments, apply structured rubrics, and help calibrate what \u0026quot;safe and policy adherent agent behavior\u0026quot; actually looks like.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Review multi-step agent task trajectories against rubric-based criteria covering task success, safety, and policy adherence\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Evaluate whether an agent respected user agency and informed consent — not just whether it followed literal instructions\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Apply privacy guardrails when reviewing tasks involving sensitive or personal data\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Work inside isolated test environments, including verifying environment resets between test runs to prevent cross-contamination\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Flag and escalate safety-relevant or ambiguous findings through defined escalation paths\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Bachelor\u0026#39;s degree or equivalent practical experience\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;2–5+ years in quality review, QA/QC, trust \u0026amp;amp; safety, content moderation, data annotation, or a similarly judgment-intensive review role\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Strong written communication – you can justify a scoring decision clearly enough for someone else to audit it\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Comfort with ambiguity and structured decision-making under a rubric, rather than needing a fixed rulebook for every case\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Baseline understanding of AI/ML concepts and how AI agents complete tasks (can be learned through onboarding, but some familiarity helps)\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $50-$55p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026802009,"name":"ISL - Google - GGLCS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4266638009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4155871009,"location":{"name":"Remote - Utah  "},"metadata":null,"id":4266638009,"updated_at":"2026-09-16T11:16:15-04:00","requisition_id":"36","title":"AI Content  -  Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-06-02T12:18:05-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4266649009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4155871009,"location":{"name":"Remote - Vermont  "},"metadata":null,"id":4266649009,"updated_at":"2026-09-16T11:16:17-04:00","requisition_id":"36","title":"AI Content Specialist -  Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-06-02T12:18:05-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4266786009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4155871009,"location":{"name":"Remote - Ohio  "},"metadata":null,"id":4266786009,"updated_at":"2026-09-16T11:16:19-04:00","requisition_id":"36","title":"AI Data Specialist -  Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-06-02T12:18:06-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4266627009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4155871009,"location":{"name":"Remote - Kansas  "},"metadata":null,"id":4266627009,"updated_at":"2026-09-16T11:16:22-04:00","requisition_id":"36","title":"AI Evaluator -  Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-06-02T12:18:07-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4266629009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4155871009,"location":{"name":"Remote - South Carolina  "},"metadata":null,"id":4266629009,"updated_at":"2026-09-16T11:16:23-04:00","requisition_id":"36","title":"AI Quality Analyst -  Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-06-02T12:18:09-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4307857009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4180422009,"location":{"name":"Hybrid - Washington D.C"},"metadata":null,"id":4307857009,"updated_at":"2026-07-10T17:34:07-04:00","requisition_id":null,"title":"AI Solutions Engineer","company_name":"Innodata Inc.","first_published":"2026-07-09T16:59:02-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Program:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Innodata\u0026#39;s Federal Practice builds the trusted data layer for critical infrastructure Trust \u0026amp;amp; Safety work. Partnering with a leading systems integrator, we\u0026#39;re delivering a modern, governed data services platform in a secure federal (IL4) environment. Over an intensive 20-week phase, you\u0026#39;ll help stand up a data services storefront, a DataCard governance framework, synthetic data integration, and Databricks write-back capabilities.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As the AI Solutions Engineer, you\u0026#39;ll bring the platform\u0026#39;s AI capabilities to life. You\u0026#39;ll integrate synthetic data generation into the pipeline, stand up and tune the annotation toolchain, and orchestrate reproducible ML workflows that the rest of the team can build on. You\u0026#39;ll partner with the Solution Architect and Data/Annotation Engineer to turn raw corpora into high-quality, model-ready data. This role suits an engineer who\u0026#39;s fluent across modern AI tooling and enjoys making sophisticated ML infrastructure actually work in production.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Key Responsibilities:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Configure and validate native AI-assistive features across bundled platform components (Dataset Explorer, DataCard Service, Annotation Platform)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Integrate and tune SAM 2 for full-motion video annotation: object tracking, segmentation calibration, confidence threshold configuration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Implement Frontier model API integration for synthetic data fidelity validation: prompt engineering, response validation, quality scoring\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Configure AI-assisted annotation features: confidence scoring, auto-escalation triggers, model-assisted label suggestion\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Implement ICAM / OIDC authentication integration with AFS identity framework\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Configure data-layer DLP policies above the AFS-managed DLP infrastructure substrate\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Configure NiFi FMV codec validation layer (H.264, H.265, MPEG-4) above AFS-managed substrate\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Validate AI feature integration end-to-end across storefront, annotation platform, and DataCard write-back during Phase C\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Must-Have Qualifications:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Computer Science, Machine Learning, Data Science, or related field required; Master\u0026#39;s degree preferred. Equivalent experience may substitute for degree on a 2-for-1 basis.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;6+ years total professional experience, 4+ years hands-on AI/ML engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;SAM 2 or equivalent foundation model integration for computer vision or video annotation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Frontier model API integration (OpenAI, Anthropic, or equivalent): async job management, quality validation pipelines\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Python — strong, production-grade; comfortable with ML tooling and data pipeline development\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience configuring AI-assistive features in annotation platforms or ML data tooling\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Active Secret clearance with TS/SCI eligibility\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Nice-to-Have Qualifications:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;CVAT annotation platform — AI feature configuration and operation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;DoD or IC data program experience: CUI, distribution statements, federal data governance\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluation design for AI/ML training data: IAA methodology, drift detection, model performance measurement\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Video understanding or FMV annotation experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;DataCard or ML data provenance framework familiarity\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $75 to $80 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Note to Candidates:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;This role does not own infrastructure deployment. The AI Solutions Engineer operates at the AI/ML configuration and integration layer above the infrastructure. Ideal candidate is equally comfortable writing Python integration code and reasoning about model quality — and understands that in a federal data environment, every AI decision needs an audit trail.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026790009,"name":"ISL - (Project Delivery) - 101","child_ids":[4026801009,4026812009,4026794009,4026795009,4026811009,4026793009,4039161009,4026798009,4026799009,4026808009,4026796009,4026797009,4026800009,4026802009,4026803009,4026791009,4026804009,4026805009,4026806009,4026807009,4026809009,4026792009,4026813009,4026810009],"parent_id":null}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4266625009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4155871009,"location":{"name":"Remote - North Dakota  "},"metadata":null,"id":4266625009,"updated_at":"2026-09-16T11:16:25-04:00","requisition_id":"36","title":"AI Training Specialist -  Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-06-02T12:18:10-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4412197009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4238610009,"location":{"name":"Remote - Alabama  ; Remote - Alaska  ; Remote - Arkansas  ; Remote - Delaware  ; Remote - Florida  ; Remote - Georgia  ; Remote - Indiana  ; Remote - Maryland  ; Remote - Massachusetts  ; Remote - New Hampshire  ; Remote - New Jersey  ; Remote - New York  ; Remote - South Carolina  ; Remote - Texas  "},"metadata":null,"id":4412197009,"updated_at":"2026-09-19T12:50:49-04:00","requisition_id":"129","title":"AI Voice Evaluation Specialist","company_name":"Innodata Inc.","first_published":"2026-09-19T12:46:25-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;isSelectedEnd\u0026quot;\u0026gt;We are looking for detail-oriented Voice Specialists to evaluate the performance of AI models through real-time, voice-based conversations. In this role, you will interact with two different AI models using the same assigned scenario, carefully compare their responses, and provide structured evaluations based on defined quality criteria.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The goal of the evaluation is to create a fair, consistent comparison between models and identify which model delivers the stronger overall conversational experience.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Review an assigned scenario and roleplay a natural conversation with \u0026lt;strong\u0026gt;two different AI models\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Conduct comparable conversations with Model A and Model B, keeping the scenario, conversational approach, and overall interaction as consistent as possible.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain approximately the same number of conversational turns with each model to support a fair comparison.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Record your voice during each interaction and pay close attention to the quality and behavior of the model\u0026#39;s responses.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluate each model across \u0026lt;strong\u0026gt;five defined evaluation dimensions\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify and categorize relevant \u0026lt;strong\u0026gt;error clusters\u0026lt;/strong\u0026gt; that may occur in the audio or conversation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Compare the performance of Model A and Model B based on the evaluation criteria and your observations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Select the model that demonstrated the stronger overall performance according to the defined evaluation framework.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Write a detailed rationale explaining your final preference, referencing specific examples and observations from both conversations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Apply evaluation guidelines consistently across different scenarios and model interactions\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelors Degree\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong attention to detail and ability to notice subtle differences in conversational quality.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent listening and comprehension skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong written communication skills, particularly the ability to explain observations clearly and objectively.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to follow detailed evaluation guidelines consistently.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort speaking naturally and roleplaying different conversational scenarios.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to compare two interactions fairly without allowing personal preferences to influence the evaluation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong critical-thinking and analytical skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reliability and consistency when completing structured evaluation tasks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with AI assistants, voice-based AI, or conversational systems\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $20-$27 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4266794009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4155871009,"location":{"name":"Remote - Virginia  "},"metadata":null,"id":4266794009,"updated_at":"2026-09-16T11:16:27-04:00","requisition_id":"36","title":"AI Workflow Associate -  Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-06-02T12:18:11-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4266793009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4155871009,"location":{"name":"Remote - Alaska  "},"metadata":null,"id":4266793009,"updated_at":"2026-09-16T11:16:29-04:00","requisition_id":"36","title":"AI Workflow Specialist -  Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-06-02T12:18:14-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4266798009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4155871009,"location":{"name":"Remote - Maryland  "},"metadata":null,"id":4266798009,"updated_at":"2026-09-16T11:16:31-04:00","requisition_id":"36","title":"Applied AI Analyst -  Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-06-02T12:18:14-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4266634009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4155871009,"location":{"name":"Remote - West Virginia  "},"metadata":null,"id":4266634009,"updated_at":"2026-09-16T11:16:33-04:00","requisition_id":"36","title":"Applied AI Associate -  Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-06-02T12:18:15-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4307872009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4180433009,"location":{"name":"Hybrid - Washington D.C"},"metadata":null,"id":4307872009,"updated_at":"2026-07-10T17:28:41-04:00","requisition_id":"75","title":"Backend / Integration Engineer","company_name":"Innodata Inc.","first_published":"2026-07-09T16:59:18-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Program:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Innodata\u0026#39;s Federal Practice builds the trusted data layer for critical infrastructure Trust \u0026amp;amp; Safety work. Partnering with a leading systems integrator, we\u0026#39;re delivering a modern, governed data services platform in a secure federal (IL4) environment. Over an intensive 20-week phase, you\u0026#39;ll help stand up a data services storefront, a DataCard governance framework, synthetic data integration, and Databricks write-back capabilities.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About this Role:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As the Backend/Integration Engineer, you\u0026#39;ll build the connective tissue of the platform. You\u0026#39;ll develop the data services storefront\u0026#39;s backend, stand up ingest pipelines, and implement reliable write-back into our data lakehouse so results flow cleanly across systems. Working alongside the Solution Architect, you\u0026#39;ll make sure the platform\u0026#39;s components integrate securely and perform under real workloads in a federal (IL4) environment. It\u0026#39;s a strong fit for a backend engineer who likes owning integrations and turning architecture into working plumbing.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Key Responsibilities:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Implement Databricks REST API write-back for labeled outputs, DataCard provenance records, and synthetic content outputs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and validate the Duality back-end integration: catalog intake form configuration, parameter translation to Duality generation API, async job lifecycle management (submission, tracking, retry, completion), output handling\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Implement ServiceNow REST integration for white-glove routing intake path\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain storefront backend services (API layer between frontend UI and platform components)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Implement DataCard write-back path in coordination with Solution Architect\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and maintain async job queue management and retry logic across all integration surfaces\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Structure output metadata for DataCard provenance records per DoD distribution statement requirements\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Must-Have Qualifications:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Computer Science, Software Engineering, or related field required. Equivalent experience may substitute for degree on a 2-for-1 basis.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;6+ years total professional experience, 4+ years backend or API integration engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Python backend development — strong, production-grade\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;REST API integration with async job lifecycle patterns (submission, polling, retry, webhook handling)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks REST API or strong Spark/Databricks platform familiarity\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;JSON schema design and structured metadata handling\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Active Secret clearance with TS/SCI eligibility\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Nice-to-Have Qualifications:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;ServiceNow REST API integration experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Federal program API integration background\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;ZenML or ML orchestration pipeline familiarity\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;React or modern frontend experience for storefront skeleton support\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $75 to $80 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Note to Candidates:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The Databricks write-back and Duality integration are the two highest-complexity tasks in Phase B. Candidates should be prepared to discuss async API integration patterns and their approach to retry logic and error handling in federal-data environments during the interview.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026790009,"name":"ISL - (Project Delivery) - 101","child_ids":[4026801009,4026812009,4026794009,4026795009,4026811009,4026793009,4039161009,4026798009,4026799009,4026808009,4026796009,4026797009,4026800009,4026802009,4026803009,4026791009,4026804009,4026805009,4026806009,4026807009,4026809009,4026792009,4026813009,4026810009],"parent_id":null}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4403520009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4233430009,"location":{"name":"Remote - United States"},"metadata":null,"id":4403520009,"updated_at":"2026-09-11T12:46:17-04:00","requisition_id":"117","title":"Content Evaluator – Bilingual (French and English)- Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-09-11T12:46:17-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Role Overview\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;We are seeking detail-oriented evaluators to conduct human quality evaluations for an enterprise AI customer support product on Instagram, WhatsApp, and Messenger. You will evaluate and benchmark AI model responses against complex evaluation rubrics using provided business knowledge bases.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Model Evaluation: Review and score AI-generated customer interactions across Foundational, Experiential, and Operational dimensions (e.g., Action Fidelity, Faithfulness, Hallucination, Compliance, Tone, and Handoff).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Intent \u0026amp;amp; Fact Verification: Benchmark both informational (R1) and transactional (R2) customer queries against authoritative business sources (FAQs, product catalogs, SOPs) within the task UI.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Quality Assurance: Participate in dual-review processes and daily calibration audits to ensure inter-rater agreement and establish ground-truth performance targets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Performance Targets: Deliver precise evaluation\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Customer Service Background: Prior experience in customer service, call centers, retail, or handling customer communications via email, chat, or phone (highly prioritized).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;English Proficiency: Exceptional written English skills with a strong command of tone, brand voice, grammar, and nuance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;French Proficiency: Exceptional written French skills with a strong command of tone, brand voice, grammar, and nuance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Analytical Precision: Ability to strictly follow multi-tier evaluation guidelines, complex logic trees, and technical rubrics without deviation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Tech Adaptability: Comfort using dedicated web-based tools and labeling interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4384507009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4222463009,"location":{"name":"Remote - United States"},"metadata":null,"id":4384507009,"updated_at":"2026-08-27T17:46:37-04:00","requisition_id":"103","title":"Content Evaluator – Bilingual (Vietnamese and English)- Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-08-26T19:38:16-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Role Overview\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;We are seeking detail-oriented evaluators to conduct human quality evaluations for an enterprise AI customer support product on Instagram, WhatsApp, and Messenger. You will evaluate and benchmark AI model responses against complex evaluation rubrics using provided business knowledge bases.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Model Evaluation: Review and score AI-generated customer interactions across Foundational, Experiential, and Operational dimensions (e.g., Action Fidelity, Faithfulness, Hallucination, Compliance, Tone, and Handoff).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Intent \u0026amp;amp; Fact Verification: Benchmark both informational (R1) and transactional (R2) customer queries against authoritative business sources (FAQs, product catalogs, SOPs) within the task UI.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Quality Assurance: Participate in dual-review processes and daily calibration audits to ensure inter-rater agreement and establish ground-truth performance targets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Performance Targets: Deliver precise evaluation\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Customer Service Background: Prior experience in customer service, call centers, retail, or handling customer communications via email, chat, or phone (highly prioritized).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;English Proficiency: Exceptional written English skills with a strong command of tone, brand voice, grammar, and nuance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Vietnamese Proficiency: Exceptional written Vietnamese skills with a strong command of tone, brand voice, grammar, and nuance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Analytical Precision: Ability to strictly follow multi-tier evaluation guidelines, complex logic trees, and technical rubrics without deviation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Tech Adaptability: Comfort using dedicated web-based tools and labeling interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is up to $20 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4266784009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4155871009,"location":{"name":"Remote - Idaho  "},"metadata":null,"id":4266784009,"updated_at":"2026-09-16T11:16:34-04:00","requisition_id":"36","title":"Data AI Annotator -  Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-06-02T12:18:16-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4307908009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4180448009,"location":{"name":"Hybrid - Washington D.C"},"metadata":null,"id":4307908009,"updated_at":"2026-07-21T09:39:11-04:00","requisition_id":"76","title":"Data \u0026 Annotation Engineer","company_name":"Innodata Inc.","first_published":"2026-07-09T16:59:50-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Program:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Innodata\u0026#39;s Federal Practice builds the trusted data layer for critical infrastructure Trust \u0026amp;amp; Safety work. Partnering with a leading systems integrator, we\u0026#39;re delivering a modern, governed data services platform in a secure federal (IL4) environment. Over an intensive 20-week phase, you\u0026#39;ll help stand up a data services storefront, a DataCard governance framework, synthetic data integration, and Databricks write-back capabilities.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As the Data/Annotation Engineer, you\u0026#39;ll be hands-on with the data itself. You\u0026#39;ll administer the annotation toolchain, manage annotation workflows across the corpus, and produce the per-dataset documentation that feeds our governance framework. You\u0026#39;ll work with the AI Solutions Engineer to ensure the data going into our models is accurate, well-labeled, and fully traceable. This role is for someone detail-obsessed who understands that great AI starts with disciplined, well-governed data.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Key Responsibilities:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Receive, validate, ingest, and ontology-map the ODIN mission-aligned corpus from AFS delivery\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Produce the ODIN load report: corpus description, ontology mapping, readiness state\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Configure CVAT annotation pipeline against the Phase 1 starter kit rule pack\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Operate both self-service and lightweight white-glove annotation paths during Phase D corpus production\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Produce 50–100 label demonstration corpus across synthetic and mission-aligned content\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support QA/Evaluation Lead on QC execution and corpus annotation dry-runs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Associate DataCard provenance records with annotated and synthetic outputs in coordination with the Solution Architect\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Must-Have Qualifications:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Data Science, Computer Science, or related field preferred. Equivalent experience may substitute for degree on a 2-for-1 basis.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years total professional experience, 3+ years in data engineering or annotation operations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;CVAT — deployment and day-to-day operation required; this is not a nice-to-have\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Annotated dataset ingest pipelines: schema mapping, format validation, ontology alignment\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Full-motion video (FMV) annotation concepts and tooling\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Python scripting for data wrangling, validation, and format conversion\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Active Secret clearance with TS/SCI eligibility\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Nice-to-Have Qualifications:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Computer Science, Machine Learning, Data Science, or related field required; Master\u0026#39;s degree preferred. Equivalent experience may substitute for degree on a 2-for-1 basis\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;CVAT annotation platform — AI feature configuration and operation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;DoD or IC data program experience: CUI, distribution statements, federal data governance\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluation design for AI/ML training data: IAA methodology, drift detection, model performance measurement\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Video understanding or FMV annotation experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;DataCard or ML data provenance framework familiarity\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $55 to $60 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Note to Candidates:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Phase D corpus production (Weeks 17–19) is the core demonstration deliverable. Candidates must be genuinely comfortable operating CVAT at production quality against a mission dataset under a milestone deadline\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026790009,"name":"ISL - (Project Delivery) - 101","child_ids":[4026801009,4026812009,4026794009,4026795009,4026811009,4026793009,4039161009,4026798009,4026799009,4026808009,4026796009,4026797009,4026800009,4026802009,4026803009,4026791009,4026804009,4026805009,4026806009,4026807009,4026809009,4026792009,4026813009,4026810009],"parent_id":null}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4400017009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4231709009,"location":{"name":"Hybrid - Washington D.C"},"metadata":null,"id":4400017009,"updated_at":"2026-09-17T10:04:14-04:00","requisition_id":"116","title":"Data Annotator - Hybrid","company_name":"Innodata Inc.","first_published":"2026-09-09T14:39:38-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt; font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;About this Role:\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Produce high-fidelity annotations on imagery and video used to train and evaluate machine learning models. Annotators work to a defined ontology and labeling specification, meet project quality and throughput targets, and operate inside the designated annotation environment for each program. Assignments rotate across projects, modalities, and customers as program needs change.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt; font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Key Responsibilities:\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Label static imagery and video across a range of sensor types, image qualities, and scene conditions, including both real-world and synthetic data.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Produce 2D bounding boxes, instance and semantic segmentation masks, and keypoint annotations to project specification.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Produce oriented and rotated bounding boxes where scene geometry requires them.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Produce 3D and 6 degrees-of-freedom pose, orientation, and scale annotations on projects that require them.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Produce multi-object tracking annotations, maintaining consistent object identity across full sequences — through occlusion, frame exit and re-entry, scale change, and camera or platform motion.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Review, correct, and accept or reject model-assisted and pre-labeled output; report systematic pre-label failure modes rather than silently correcting the same error frame by frame.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work strictly to the project ontology and guidelines; escalate ambiguous or out-of-ontology objects rather than guessing.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Meet assigned accuracy and throughput targets, and hold that standard consistently across large batches.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Complete rework promptly from QA feedback, applying the correction to comparable cases in the same batch.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Log edge cases and recurring ambiguities so they can be adjudicated and folded into the guidelines.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Follow all customer data-handling, confidentiality, and information security requirements for the assigned project, and keep required training current.\u0026lt;span style=\u0026quot;font-size: 12pt; font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt; font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Must-Have Qualifications:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;1+ years of image or video annotation experience, or equivalent precision work in a quality-managed production environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working familiarity with at least one professional annotation platform (for example CVAT, V7 Darwin, Labelbox, Scale, or comparable).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Practical understanding of bounding boxes, segmentation masks, keypoints, and object tracking — and of what makes each one correct rather than merely present.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong visual attention to detail and the discipline to hold a standard across tens of thousands of frames.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to follow written labeling guidelines exactly, and to ask precise questions when they are silent on a case.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working in remote-desktop or browser-based environments.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt; font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Nice-to-Have Qualifications:\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience across multiple annotation modalities rather than a single task type.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with aerial, overhead, satellite, or thermal/IR imagery.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with long-form video and tracking work.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience reviewing model-assisted pre-labels in a human-in-the-loop pipeline.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior work on government or regulated-industry programs.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt; font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $42,000 to $62.500 annually, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt; font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Program eligibility: Some programs require eligibility for a government background investigation or credentialing. Assignment to those programs is contingent on meeting those requirements.\u0026lt;/em\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026790009,"name":"ISL - (Project Delivery) - 101","child_ids":[4026801009,4026812009,4026794009,4026795009,4026811009,4026793009,4039161009,4026798009,4026799009,4026808009,4026796009,4026797009,4026800009,4026802009,4026803009,4026791009,4026804009,4026805009,4026806009,4026807009,4026809009,4026792009,4026813009,4026810009],"parent_id":null}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4410664009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4237688009,"location":{"name":"Hybrid - New Jersey "},"metadata":null,"id":4410664009,"updated_at":"2026-09-22T19:17:10-04:00","requisition_id":"124","title":"Data Program Manager, AI/ML Delivery","company_name":"Innodata Inc.","first_published":"2026-09-22T19:16:06-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;div id=\u0026quot;x_mail-editor-reference-message-container\u0026quot;\u0026gt;\n\u0026lt;div id=\u0026quot;x_mail-editor-reference-message-body\u0026quot;\u0026gt;\n\u0026lt;div id=\u0026quot;x_x_mail-editor-reference-message-container\u0026quot;\u0026gt;\n\u0026lt;div id=\u0026quot;x_x_mail-editor-reference-message-body\u0026quot;\u0026gt;\n\u0026lt;div data-olk-copy-source=\u0026quot;MailCompose\u0026quot;\u0026gt;Innodata is looking for a Data Delivery Manager to own the execution and delivery of human data solutions for off-the-shelf AI/ML products. This role sits at the intersection of client management and data operations — you\u0026#39;ll be the primary driver ensuring projects are delivered on time, to spec, and to the client\u0026#39;s satisfaction, while managing competing priorities across internal teams. This is a hands-on, ownership-driven role, — strong execution, client management, and analytical instincts matter the most.\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;p data-start=\u0026quot;774\u0026quot; data-end=\u0026quot;910\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;div id=\u0026quot;x_mail-editor-reference-message-container\u0026quot;\u0026gt;\n\u0026lt;div id=\u0026quot;x_mail-editor-reference-message-body\u0026quot;\u0026gt;\n\u0026lt;div id=\u0026quot;x_x_mail-editor-reference-message-container\u0026quot;\u0026gt;\n\u0026lt;div id=\u0026quot;x_x_mail-editor-reference-message-body\u0026quot;\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-olk-copy-source=\u0026quot;MailCompose\u0026quot;\u0026gt;Take full ownership of assigned client engagements, executing delivery from kickoff through completion\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and manage human data (data annotation, labeling, evaluation datasets) for off-the-shelf AI/ML products\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coordinate cross-functional internal teams (data operations, analysts, SMEs) to keep projects on track\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understand and translate technical concepts to non-technical stakeholders and vice versa\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Balance competing priorities across multiple clients/projects, proactively identifying and resolving risks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use quality metrics, acceptance criteria, and dataset-level analysis to identify gaps and drive improvements\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;As bandwidth allows, contribute to process and delivery improvements beyond day-to-day execution\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;p data-start=\u0026quot;774\u0026quot; data-end=\u0026quot;910\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;div id=\u0026quot;x_mail-editor-reference-message-container\u0026quot;\u0026gt;\n\u0026lt;div id=\u0026quot;x_mail-editor-reference-message-body\u0026quot;\u0026gt;\n\u0026lt;div id=\u0026quot;x_x_mail-editor-reference-message-container\u0026quot;\u0026gt;\n\u0026lt;div id=\u0026quot;x_x_mail-editor-reference-message-body\u0026quot;\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-olk-copy-source=\u0026quot;MailCompose\u0026quot;\u0026gt;4+ years of experience in technical program/project management, delivery management, or data operations within AI/ML, data annotation, or related technology domains\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s or Master\u0026#39;s degree in Computer Science, Engineering, Data Science, or a related technical field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working in technical settings (does not require a deeply technical background)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to manage and influence cross-functional teams without direct authority; potential to build and lead a team as the practice scales\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong attention to detail with a track record of owning client-facing deliverables to exacting specifications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong analytical skills — comfortable working with quality metrics, acceptance criteria, and dataset-level analysis\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent client management, communication, and risk management skills\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Preferred Skills:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;div id=\u0026quot;x_mail-editor-reference-message-container\u0026quot;\u0026gt;\n\u0026lt;div id=\u0026quot;x_mail-editor-reference-message-body\u0026quot;\u0026gt;\n\u0026lt;div id=\u0026quot;x_x_mail-editor-reference-message-container\u0026quot;\u0026gt;\n\u0026lt;div id=\u0026quot;x_x_mail-editor-reference-message-body\u0026quot;\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-olk-copy-source=\u0026quot;MailCompose\u0026quot;\u0026gt;Understanding of LLMs, model evaluation, benchmarking, data annotation, and AI/ML data production workflows\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience delivering datasets or evaluation assets to AI labs, research organizations, or ML engineering teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to benchmark/eval frameworks, annotation platforms, SME-driven data production, or RLHF/human-feedback workflows\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of Python, SQL, or analytics/BI tools for dataset inspection and metrics reporting\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;PMP, Agile, or equivalent program management certification\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected salary range for this position is $140,000 - $150,000 p/year, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026795009,"name":"ISL - AI/LLM Practice Internal - 918AL - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026799009,"name":"INN - Remote - US","location":null,"child_ids":[],"parent_id":4026797009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4412154009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4238587009,"location":{"name":"In Office - San Jose, California"},"metadata":null,"id":4412154009,"updated_at":"2026-09-19T00:43:43-04:00","requisition_id":"126","title":"Engagement Manager, Agentic AI Workflow Evaluations","company_name":"Innodata Inc.","first_published":"2026-09-19T00:43:43-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;We are standing up a dedicated onsite team to evaluate complex, real-world agentic AI workflows for a frontier AI customer. The Engagement Manager owns this team and this engagement: a group of ten reviewers and one QA lead working inside isolated test environments, assessing whether AI agents complete tasks safely, respect user intent and consent, and hold up under close scrutiny.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:160,\u0026amp;quot;335559740\u0026amp;quot;:276}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;This is a delivery leadership role with a strong customer-facing component. You are the customer\u0026#39;s primary day-to-day contact at the site, accountable for throughput, quality, and turnaround, and responsible for identifying where the engagement should grow next. You will not be scoring trajectories as a daily task, but you need enough technical depth to audit the team\u0026#39;s work yourself and defend a scoring decision in a room with the customer\u0026#39;s technical leads.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:160,\u0026amp;quot;335559740\u0026amp;quot;:276}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Own end-to-end delivery for the onsite team: throughput, quality, turnaround, and capacity against committed volumes\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:100}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Manage and develop a team of eleven, including hiring, onboarding, performance management, and retention\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:100}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Serve as the primary onsite point of contact for the customer\u0026#39;s program and technical leads; run recurring reviews, report on delivery metrics, and resolve issues before they escalate\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:100}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Audit reviewer output directly — sample trajectories, check rubric application, and assess whether scoring rationale would survive customer review\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:100}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Partner with the QA lead on calibration cycles, quality metrics and evaluation, and rubric refinement; arbitrate disagreements that calibration does not resolve\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:100}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Own the escalation path for safety-relevant and ambiguous findings, including judgment on what reaches the customer and how quickly\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:100}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Identify expansion opportunities within the account: adjacent workstreams, new task types, additional capacity, and scope the work with internal delivery and commercial teams\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:100}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Forecast staffing and cost against the engagement\u0026#39;s commercial model, and flag variance early\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:100}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Maintain information security, privacy, and facility access practices required by the customer\u0026#39;s onsite environment\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:100}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Bachelor\u0026#39;s degree or equivalent practical experience\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:100}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;5+ years of professional experience, including direct management of a delivery team of 10–20 people\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:100}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Track record as the customer-facing owner of a services or delivery engagement with an enterprise or technology client, including metrics reporting and issue escalation\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:100}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Significant experience with AI/ML evaluation work: annotation, red-teaming, RLHF, model or agent evaluation, or trust and safety review\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:100}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Ability to read rubric-scored work critically and form an independent view of whether a score is correct\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:100}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Strong written communication; able to produce reporting and escalation memos that a technical customer will accept without rework\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:100}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $75-85 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026802009,"name":"ISL - Google - GGLCS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4438341009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4256080009,"location":{"name":"Remote - Canada"},"metadata":null,"id":4438341009,"updated_at":"2026-10-08T16:13:09-04:00","requisition_id":"146","title":"Gen AI Engineer","company_name":"Innodata Inc.","first_published":"2026-10-08T09:49:27-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p data-start=\u0026quot;124\u0026quot; data-end=\u0026quot;461\u0026quot;\u0026gt;Innodata is building a team of Prompt Engineers to leverage large language models (LLMs) to automate and optimize data annotation and human evaluation workflows. In this role, you will design and implement effective prompt strategies that improve accuracy, localization, and cultural alignment in data labeling and translation processes.\u0026lt;/p\u0026gt;\n\u0026lt;p data-start=\u0026quot;463\u0026quot; data-end=\u0026quot;796\u0026quot;\u0026gt;Working closely with Product, Data Science, Operations, and client stakeholders, you will translate business requirements into scalable AI-driven solutions. You will identify automation opportunities, develop prompt-based workflows, and continuously measure and refine performance to ensure high standards of quality and reliability.\u0026lt;/p\u0026gt;\n\u0026lt;p data-start=\u0026quot;798\u0026quot; data-end=\u0026quot;934\u0026quot;\u0026gt;This position offers the opportunity to directly impact efficiency, scalability and innovation for a leading global technology partner.\u0026lt;/p\u0026gt;\n\u0026lt;p data-start=\u0026quot;774\u0026quot; data-end=\u0026quot;910\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW49707123 BCX8\u0026quot;\u0026gt;Collaborate with data scientists, linguists, and localization experts to ensure accuracy and cultural relevance.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW49707123 BCX8\u0026quot;\u0026gt;Prototype and validate AI models to demonstrate initial feasibility, potential impact, and overall effectiveness.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW49707123 BCX8\u0026quot;\u0026gt;Design, develop, and implement prompts for data labeling and localization processes within software applications.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW49707123 BCX8\u0026quot;\u0026gt;Understand the current components of the software stack, use cases and problems and iterate on solutions leveraging a solid knowledge of data structures, data formats, and data modeling.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW49707123 BCX8\u0026quot;\u0026gt;Conduct user testing and feedback analysis to optimize prompt design for data accuracy and linguistic consistency.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW49707123 BCX8\u0026quot;\u0026gt;Analyze model performance using key performance indicators (KPIs) and metrics, ensuring that AI models meet customer acceptance criteria and deliver high-quality outputs.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW49707123 BCX8\u0026quot;\u0026gt;Communicate technical findings and solution strategies to both technical and non-technical stakeholders, including presenting model performance and actionable insights in a clear, accessible manner.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW49707123 BCX8\u0026quot;\u0026gt;Collaborate on\u0026amp;nbsp;data pipelines\u0026amp;nbsp;and workflows that integrate LLMs into automated systems, enhancing both the efficiency and effectiveness of data annotation tasks.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW49707123 BCX8\u0026quot;\u0026gt;Create guidelines and training materials for prompt usage in data labeling and localization projects.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW49707123 BCX8\u0026quot;\u0026gt;Stay informed on data labeling and localization industry trends and tools to enhance prompt engineering techniques.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-start=\u0026quot;774\u0026quot; data-end=\u0026quot;910\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;2 years of prompt engineering / LLM fine-tuning, or related AI/ML roles.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with tools/platforms for annotation and human-in-the-loop workflows (e.g., Labelbox).\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing and automating data annotation workflows.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of data annotation and the challenges of scaling human-in-the-loop workflows.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with cloud platforms, containerization, and model deployment.\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW37039862 BCX8\u0026quot;\u0026gt;Deep understanding of LLMs (e.g. transformer-based architectures).\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW37039862 BCX8\u0026quot;\u0026gt;Demonstrated experience programmatically using LLMs to automate data labeling, classification, localization and annotation tasks.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW37039862 BCX8\u0026quot;\u0026gt;Strong expertise in Python for NLU, for data processing \u0026amp;amp; transformation, and for statistical analysis. Familiarity with JSON, Javascript or XML.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW37039862 BCX8\u0026quot;\u0026gt;Experience with popular frameworks and libraries, including TensorFlow, PyTorch, Jupyter, and other relevant AI/ML tools.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW37039862 BCX8\u0026quot;\u0026gt;Familiarity with APIs and platforms for working with LLMs (e.g., OpenAI, Hugging Face, etc.).\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW37039862 BCX8\u0026quot;\u0026gt;Knowledge of localization best practices and cultural nuances for different languages and regions.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW37039862 BCX8\u0026quot;\u0026gt;Strong understanding of LLM evaluation metrics and the ability to assess model reliability, bias, and generalizability.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW37039862 BCX8\u0026quot;\u0026gt;Experience working with data pipelines, automation tools, and integrating models into production systems to ensure scalable, reliable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected salary range for this position is $80,000 – $90,000 CAD per year, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026864009,"name":"ICL- (Engineering) \u0026 Solutions","child_ids":[],"parent_id":4026860009}],"offices":[{"id":4026800009,"name":"Innodata Canada","location":null,"child_ids":[4026801009,4026802009],"parent_id":null}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4282641009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4155871009,"location":{"name":"Remote - United States"},"metadata":null,"id":4282641009,"updated_at":"2026-09-16T11:16:36-04:00","requisition_id":"36","title":"Generative AI Annotator -  Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-06-11T16:42:16-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4224769009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4131491009,"location":{"name":"Remote - United States"},"metadata":null,"id":4224769009,"updated_at":"2026-08-06T15:44:48-04:00","requisition_id":"12","title":"Generative AI Associate","company_name":"Innodata Inc.","first_published":"2026-04-20T15:38:22-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4307421009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4180172009,"location":{"name":"Remote - Tennessee  "},"metadata":null,"id":4307421009,"updated_at":"2026-07-08T09:18:30-04:00","requisition_id":"72","title":"Generative AI Associate -  Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-07-08T09:18:30-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4307422009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4180172009,"location":{"name":"Remote - Montana  "},"metadata":null,"id":4307422009,"updated_at":"2026-07-08T09:18:32-04:00","requisition_id":"72","title":"Generative AI Associate -  Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-07-08T09:18:32-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4307423009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4180172009,"location":{"name":"Remote - Delaware  "},"metadata":null,"id":4307423009,"updated_at":"2026-07-08T09:18:32-04:00","requisition_id":"72","title":"Generative AI Associate -  Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-07-08T09:18:32-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4307424009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4180172009,"location":{"name":"Remote - Wisconsin  "},"metadata":null,"id":4307424009,"updated_at":"2026-07-08T09:18:34-04:00","requisition_id":"72","title":"Generative AI Associate -  Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-07-08T09:18:34-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4307425009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4180172009,"location":{"name":"Remote - Minnesota  "},"metadata":null,"id":4307425009,"updated_at":"2026-07-08T09:18:35-04:00","requisition_id":"72","title":"Generative AI Associate -  Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-07-08T09:18:35-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4307426009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4180172009,"location":{"name":"Remote - Nevada  "},"metadata":null,"id":4307426009,"updated_at":"2026-07-08T09:18:36-04:00","requisition_id":"72","title":"Generative AI Associate -  Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-07-08T09:18:36-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4307427009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4180172009,"location":{"name":"Remote - Massachusetts  "},"metadata":null,"id":4307427009,"updated_at":"2026-07-08T09:18:38-04:00","requisition_id":"72","title":"Generative AI Associate -  Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-07-08T09:18:38-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4266622009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4155871009,"location":{"name":"Remote - Mississippi  "},"metadata":null,"id":4266622009,"updated_at":"2026-09-16T11:16:38-04:00","requisition_id":"36","title":"Generative AI Associate -  Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-06-02T12:18:18-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4307429009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4180172009,"location":{"name":"Remote - Michigan  "},"metadata":null,"id":4307429009,"updated_at":"2026-07-08T09:18:39-04:00","requisition_id":"72","title":"Generative AI Associate -  Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-07-08T09:18:39-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4307428009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4180172009,"location":{"name":"Remote - Rhode Island  "},"metadata":null,"id":4307428009,"updated_at":"2026-07-08T09:18:38-04:00","requisition_id":"72","title":"Generative AI Associate -  Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-07-08T09:18:38-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4307430009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4180172009,"location":{"name":"Remote - United States"},"metadata":null,"id":4307430009,"updated_at":"2026-07-08T09:18:41-04:00","requisition_id":"72","title":"Generative AI Associate -  Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-07-08T09:18:41-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4307416009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4180172009,"location":{"name":"Remote - Georgia  "},"metadata":null,"id":4307416009,"updated_at":"2026-07-08T09:18:26-04:00","requisition_id":"72","title":"Generative AI Associate -  Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-07-08T09:18:26-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for a smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4307417009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4180172009,"location":{"name":"Remote - Indiana  "},"metadata":null,"id":4307417009,"updated_at":"2026-07-08T09:18:27-04:00","requisition_id":"72","title":"Generative AI Associate -  Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-07-08T09:18:27-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4307418009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4180172009,"location":{"name":"Remote - Kentucky  "},"metadata":null,"id":4307418009,"updated_at":"2026-07-08T09:18:27-04:00","requisition_id":"72","title":"Generative AI Associate -  Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-07-08T09:18:27-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4307419009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4180172009,"location":{"name":"Remote - New Hampshire  "},"metadata":null,"id":4307419009,"updated_at":"2026-07-08T09:18:29-04:00","requisition_id":"72","title":"Generative AI Associate -  Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-07-08T09:18:29-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4307420009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4180172009,"location":{"name":"Remote - Oklahoma  "},"metadata":null,"id":4307420009,"updated_at":"2026-07-08T09:18:30-04:00","requisition_id":"72","title":"Generative AI Associate -  Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-07-08T09:18:30-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4248763009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4145245009,"location":{"name":"Remote - Minnesota  "},"metadata":null,"id":4248763009,"updated_at":"2026-06-29T12:30:17-04:00","requisition_id":"28","title":"Generative AI Associate - Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-05-14T16:41:34-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4248527009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4145245009,"location":{"name":"Remote - Alabama  "},"metadata":null,"id":4248527009,"updated_at":"2026-06-29T12:30:17-04:00","requisition_id":"28","title":"Generative AI Associate - Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-05-14T16:40:53-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4248681009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4145245009,"location":{"name":"Remote - Mississippi  "},"metadata":null,"id":4248681009,"updated_at":"2026-06-29T12:30:17-04:00","requisition_id":"28","title":"Generative AI Associate - Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-05-14T16:40:54-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4248684009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4145245009,"location":{"name":"Remote - North Carolina  "},"metadata":null,"id":4248684009,"updated_at":"2026-06-29T12:30:17-04:00","requisition_id":"28","title":"Generative AI Associate - Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-05-14T16:41:08-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4248685009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4145245009,"location":{"name":"Remote - Indiana  "},"metadata":null,"id":4248685009,"updated_at":"2026-06-29T12:30:17-04:00","requisition_id":"28","title":"Generative AI Associate - Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-05-14T16:41:08-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4248686009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4145245009,"location":{"name":"Remote - North Dakota  "},"metadata":null,"id":4248686009,"updated_at":"2026-06-29T12:30:17-04:00","requisition_id":"28","title":"Generative AI Associate - Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-05-14T16:41:11-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4248689009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4145245009,"location":{"name":"Remote - Oklahoma  "},"metadata":null,"id":4248689009,"updated_at":"2026-06-29T12:30:17-04:00","requisition_id":"28","title":"Generative AI Associate - Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-05-14T16:41:12-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4248690009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4145245009,"location":{"name":"Remote - Kansas  "},"metadata":null,"id":4248690009,"updated_at":"2026-06-29T12:30:17-04:00","requisition_id":"28","title":"Generative AI Associate - Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-05-14T16:41:13-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4248692009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4145245009,"location":{"name":"Remote - Kentucky  "},"metadata":null,"id":4248692009,"updated_at":"2026-06-29T12:30:17-04:00","requisition_id":"28","title":"Generative AI Associate - Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-05-14T16:41:14-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4248694009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4145245009,"location":{"name":"Remote - South Carolina  "},"metadata":null,"id":4248694009,"updated_at":"2026-06-29T12:30:17-04:00","requisition_id":"28","title":"Generative AI Associate - Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-05-14T16:41:16-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4248703009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4145245009,"location":{"name":"Remote - Louisiana  "},"metadata":null,"id":4248703009,"updated_at":"2026-06-29T12:30:17-04:00","requisition_id":"28","title":"Generative AI Associate - Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-05-14T16:41:17-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4248719009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4145245009,"location":{"name":"Remote - New Hampshire  "},"metadata":null,"id":4248719009,"updated_at":"2026-06-29T12:30:17-04:00","requisition_id":"28","title":"Generative AI Associate - Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-05-14T16:41:18-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4248723009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4145245009,"location":{"name":"Remote - Georgia  "},"metadata":null,"id":4248723009,"updated_at":"2026-06-29T12:30:17-04:00","requisition_id":"28","title":"Generative AI Associate - Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-05-14T16:41:20-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4248725009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4145245009,"location":{"name":"Remote - Idaho  "},"metadata":null,"id":4248725009,"updated_at":"2026-06-29T12:30:17-04:00","requisition_id":"28","title":"Generative AI Associate - Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-05-14T16:41:21-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4248726009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4145245009,"location":{"name":"Remote - West Virginia  "},"metadata":null,"id":4248726009,"updated_at":"2026-06-29T12:30:17-04:00","requisition_id":"28","title":"Generative AI Associate - Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-05-14T16:41:22-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4248729009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4145245009,"location":{"name":"Remote - Iowa  "},"metadata":null,"id":4248729009,"updated_at":"2026-06-29T12:30:17-04:00","requisition_id":"28","title":"Generative AI Associate - Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-05-14T16:41:24-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4248748009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4145245009,"location":{"name":"Remote - Tennessee  "},"metadata":null,"id":4248748009,"updated_at":"2026-06-29T12:30:17-04:00","requisition_id":"28","title":"Generative AI Associate - Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-05-14T16:41:25-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4248749009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4145245009,"location":{"name":"Remote - Texas  "},"metadata":null,"id":4248749009,"updated_at":"2026-06-29T12:30:17-04:00","requisition_id":"28","title":"Generative AI Associate - Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-05-14T16:41:26-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4248751009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4145245009,"location":{"name":"Remote - Utah  "},"metadata":null,"id":4248751009,"updated_at":"2026-06-29T12:30:17-04:00","requisition_id":"28","title":"Generative AI Associate - Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-05-14T16:41:27-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4248754009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4145245009,"location":{"name":"Remote - Wisconsin  "},"metadata":null,"id":4248754009,"updated_at":"2026-06-29T12:30:17-04:00","requisition_id":"28","title":"Generative AI Associate - Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-05-14T16:41:29-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4248758009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4145245009,"location":{"name":"Remote - Wyoming  "},"metadata":null,"id":4248758009,"updated_at":"2026-06-29T12:30:17-04:00","requisition_id":"28","title":"Generative AI Associate - Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-05-14T16:41:30-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4248760009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4145245009,"location":{"name":"Remote - Arkansas  "},"metadata":null,"id":4248760009,"updated_at":"2026-06-29T12:30:17-04:00","requisition_id":"28","title":"Generative AI Associate - Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-05-14T16:41:32-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4248761009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4145245009,"location":{"name":"Remote - Ohio  "},"metadata":null,"id":4248761009,"updated_at":"2026-06-29T12:30:17-04:00","requisition_id":"28","title":"Generative AI Associate - Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-05-14T16:41:33-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4224824009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4131521009,"location":{"name":"Remote - Canada"},"metadata":null,"id":4224824009,"updated_at":"2026-08-11T09:38:46-04:00","requisition_id":"13","title":"Generative AI Associate - Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-04-17T14:54:06-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;humanities specialization\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $21 CAD p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026849009,"name":"ICL- (Project Delivery)","child_ids":[4026856009,4026857009,4026852009,4026850009,4026851009,4026853009,4026855009,4026854009,4026858009,4026859009,4039160009],"parent_id":null}],"offices":[{"id":4026802009,"name":"ICL - Remote - CN","location":null,"child_ids":[],"parent_id":4026801009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4248766009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4145245009,"location":{"name":"Remote - South Dakota  "},"metadata":null,"id":4248766009,"updated_at":"2026-06-29T12:30:17-04:00","requisition_id":"28","title":"Generative AI Associate - Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-05-14T16:41:35-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4248770009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4145245009,"location":{"name":"Remote - New Mexico  "},"metadata":null,"id":4248770009,"updated_at":"2026-06-29T12:30:17-04:00","requisition_id":"28","title":"Generative AI Associate - Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-05-14T16:41:37-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4248771009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4145245009,"location":{"name":"Remote - Virginia  "},"metadata":null,"id":4248771009,"updated_at":"2026-06-29T12:30:17-04:00","requisition_id":"28","title":"Generative AI Associate - Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-05-14T16:41:41-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4248773009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4145245009,"location":{"name":"Remote - Michigan  "},"metadata":null,"id":4248773009,"updated_at":"2026-06-29T12:30:17-04:00","requisition_id":"28","title":"Generative AI Associate - Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-05-14T16:41:42-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4248774009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4145245009,"location":{"name":"Remote - Florida  "},"metadata":null,"id":4248774009,"updated_at":"2026-06-29T12:30:17-04:00","requisition_id":"28","title":"Generative AI Associate - Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-05-14T16:41:43-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4248783009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4145245009,"location":{"name":"Remote - Vermont  "},"metadata":null,"id":4248783009,"updated_at":"2026-06-29T12:30:17-04:00","requisition_id":"28","title":"Generative AI Associate - Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-05-14T16:41:44-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4248787009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4145245009,"location":{"name":"Remote - Canada"},"metadata":null,"id":4248787009,"updated_at":"2026-06-29T12:30:17-04:00","requisition_id":"28","title":"Generative AI Associate - Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-05-14T16:41:45-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $21 CAD p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4266651009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4155872009,"location":{"name":"Remote - Alabama  "},"metadata":null,"id":4266651009,"updated_at":"2026-06-29T12:30:17-04:00","requisition_id":null,"title":"Generative AI Associate - Flexible Hours ","company_name":"Innodata Inc.","first_published":"2026-06-01T16:55:46-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for a smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4266677009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4155872009,"location":{"name":"Remote - Missouri  "},"metadata":null,"id":4266677009,"updated_at":"2026-06-29T12:30:17-04:00","requisition_id":null,"title":"Generative AI Associate - Flexible Hours ","company_name":"Innodata Inc.","first_published":"2026-06-01T17:05:41-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4266676009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4155872009,"location":{"name":"Remote - Illinois  "},"metadata":null,"id":4266676009,"updated_at":"2026-06-29T12:30:17-04:00","requisition_id":null,"title":"Generative AI Associate - Flexible Hours ","company_name":"Innodata Inc.","first_published":"2026-06-01T17:05:10-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4266678009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4155872009,"location":{"name":"Remote - Florida  "},"metadata":null,"id":4266678009,"updated_at":"2026-06-29T12:30:17-04:00","requisition_id":null,"title":"Generative AI Associate - Flexible Hours ","company_name":"Innodata Inc.","first_published":"2026-06-01T16:59:12-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4266675009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4155872009,"location":{"name":"Remote - New Mexico  "},"metadata":null,"id":4266675009,"updated_at":"2026-06-29T12:30:17-04:00","requisition_id":null,"title":"Generative AI Associate - Flexible Hours ","company_name":"Innodata Inc.","first_published":"2026-06-01T16:59:02-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4266674009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4155872009,"location":{"name":"Remote - South Dakota  "},"metadata":null,"id":4266674009,"updated_at":"2026-06-29T12:30:17-04:00","requisition_id":null,"title":"Generative AI Associate - Flexible Hours ","company_name":"Innodata Inc.","first_published":"2026-06-01T16:59:00-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4266671009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4155872009,"location":{"name":"Remote - Arkansas  "},"metadata":null,"id":4266671009,"updated_at":"2026-06-29T12:30:17-04:00","requisition_id":null,"title":"Generative AI Associate - Flexible Hours ","company_name":"Innodata Inc.","first_published":"2026-06-01T16:58:55-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4266670009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4155872009,"location":{"name":"Remote - Wyoming  "},"metadata":null,"id":4266670009,"updated_at":"2026-06-29T12:30:17-04:00","requisition_id":null,"title":"Generative AI Associate - Flexible Hours ","company_name":"Innodata Inc.","first_published":"2026-06-01T16:58:50-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4266667009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4155872009,"location":{"name":"Remote - Texas  "},"metadata":null,"id":4266667009,"updated_at":"2026-06-29T12:30:17-04:00","requisition_id":null,"title":"Generative AI Associate - Flexible Hours ","company_name":"Innodata Inc.","first_published":"2026-06-01T16:58:46-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4266654009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4155872009,"location":{"name":"Remote - Pennsylvania  "},"metadata":null,"id":4266654009,"updated_at":"2026-06-29T12:30:17-04:00","requisition_id":null,"title":"Generative AI Associate - Flexible Hours ","company_name":"Innodata Inc.","first_published":"2026-06-01T16:58:37-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4266660009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4155872009,"location":{"name":"Remote - Louisiana  "},"metadata":null,"id":4266660009,"updated_at":"2026-06-29T12:30:17-04:00","requisition_id":null,"title":"Generative AI Associate - Flexible Hours ","company_name":"Innodata Inc.","first_published":"2026-06-01T16:57:27-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4266665009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4155872009,"location":{"name":"Remote - Iowa  "},"metadata":null,"id":4266665009,"updated_at":"2026-06-29T12:30:17-04:00","requisition_id":null,"title":"Generative AI Associate - Flexible Hours ","company_name":"Innodata Inc.","first_published":"2026-06-01T16:56:52-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4266653009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4155872009,"location":{"name":"Remote - North Carolina  "},"metadata":null,"id":4266653009,"updated_at":"2026-06-29T12:30:17-04:00","requisition_id":null,"title":"Generative AI Associate - Flexible Hours ","company_name":"Innodata Inc.","first_published":"2026-06-01T16:56:30-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4282642009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4155872009,"location":{"name":"Remote - United States"},"metadata":null,"id":4282642009,"updated_at":"2026-06-29T12:30:17-04:00","requisition_id":null,"title":"Generative AI Associate - Flexible Hours ","company_name":"Innodata Inc.","first_published":"2026-06-11T16:42:06-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for a smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4323350009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4189245009,"location":{"name":"Remote - United States"},"metadata":null,"id":4323350009,"updated_at":"2026-07-20T09:24:22-04:00","requisition_id":"80","title":"Generative AI Associate(PHD) - Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-07-17T16:54:09-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;PHD is required\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $25-$30 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4266799009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4155871009,"location":{"name":"Remote - Nebraska  "},"metadata":null,"id":4266799009,"updated_at":"2026-09-16T11:16:40-04:00","requisition_id":"36","title":"Generative AI Specialist -  Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-06-02T12:18:18-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you\u0026#39;re a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Labeling elements of a piece of content rather than the content as a whole.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assigning predefined categories or labels to items.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluating the perceived quality and/or appropriateness of content\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generating labels to advance understanding of a concept, trend etc.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Reviewing data and identifying whether or not a product feature works as intended based on the project\u0026#39;s guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Labeling model outputs to identify if a piece of content is or isn\u0026#39;t something. Examples: identify clickbait; identifying gaming videos; identifying branded content.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Ordering or ranking items based on a set of preferences or criteria.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Creating prompts or questions that will be used to generate responses from a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Generating responses to prompts or questions using a language model or other AI system.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Producing concise summaries of longer pieces of text or data.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting spoken language or audio content into written text.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Converting text or spoken language from one language to another.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A Bachelor’s degree or higher in a\u0026amp;nbsp;\u0026lt;strong\u0026gt;humanities specialization\u0026lt;/strong\u0026gt;\u0026amp;nbsp;is required. Advanced degrees are strongly preferred (Master’s or PhD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Professional or Expert level proficiency (C1/C2) in English\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026806009,"name":"ISL - Meta - MEPMS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4376555009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4216609009,"location":{"name":"Remote - United States"},"metadata":null,"id":4376555009,"updated_at":"2026-08-27T13:28:12-04:00","requisition_id":"97","title":"Lead Analytics Engineer ","company_name":"Innodata Inc.","first_published":"2026-08-19T18:13:48-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are hiring a Staff / Lead-level Data Analyst / Analytics Engineer to embed with the Monetization Data Science \u0026amp;amp; Analytics team as a senior individual contributor and technical leader. This person will be the go-to analytics expert for advertiser revenue, monetization performance, and growth metrics — trusted by Data Scientists, Analysts, PMs, and Engineering leaders to drive high-impact work end-to-end.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a staff-level Individual Contributor role, not a mid-level execution seat. The successful candidate operates as:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A trusted thought partner to Data Scientists and Product leaders — someone who improves the quality of the \u0026lt;em\u0026gt;question\u0026lt;/em\u0026gt; before answering it.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A technical leader who sets standards for data models, pipelines, and dashboards that others follow.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A force multiplier who unblocks the team by identifying and fixing root causes across the data stack, not just building what\u0026#39;s asked.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-start=\u0026quot;774\u0026quot; data-end=\u0026quot;910\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;50% — Analytics, Business Insights \u0026amp;amp; Technical Leadership\u0026lt;/strong\u0026gt; Partnering with Data Scientists and Product on the hardest analytics problems; driving metric definitions; reviewing others\u0026#39; analyses; setting standards for the team\u0026#39;s analytics work.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;30% — Data Engineering \u0026amp;amp; Pipeline Ownership\u0026lt;/strong\u0026gt; Architecting and owning production SQL pipelines, data models, and data cubes; designing and operating Airflow DAGs; setting the bar for data quality, reliability, and reconciliation across the domain.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;20% — Data Visualization, Metric Governance \u0026amp;amp; Enablement\u0026lt;/strong\u0026gt; Owning executive-visibility dashboards in Tableau / Superset; defining and governing metrics; enabling self-serve analytics for the broader Monetization org.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;Analytics Leadership \u0026amp;amp; Business Partnership\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Serve as the senior analytics IC for the Monetization Analytics pod — the person Data Scientists and PMs come to with the hardest, most ambiguous data problems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Improve the \u0026lt;em\u0026gt;quality of the question\u0026lt;/em\u0026gt; before answering — reframe vague asks into sharper, more valuable analytical approaches.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead end-to-end analytics initiatives that span data modeling, pipeline work, and dashboard delivery — with minimal supervision and clear stakeholder communication throughout.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Set metric definitions and standards for advertiser revenue, monetization performance, funnel/cohort metrics, and experiment readouts — and drive consistency across dashboards.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Independently drive root-cause analysis on data discrepancies across dashboards, warehouses, or pipelines — including cross-team debugging when needed.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Review, coach, and raise the bar on the work of other analysts and analytics engineers on the team.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;Data Engineering \u0026amp;amp; Pipeline Architecture\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Architect and own production-grade SQL data pipelines (Presto / Trino / Hive / Spark SQL) — including making the right tradeoffs on incremental vs. full refresh, pre-aggregation, and cost/performance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and own data cubes, aggregate tables, and semantic layers used by the whole Monetization Analytics function.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Author, own, and operate Airflow DAGs for critical revenue and monetization pipelines — including SLAs, on-call posture, backfills, and incident response.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Set and enforce standards for data quality, reconciliation, and observability — row counts, revenue tie-outs, distribution checks, anomaly alerting — across the domain.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Optimize existing pipelines aggressively for cost and latency (partitioning, incremental refresh, query tuning on billion+ row tables) — and quantify the wins.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to cross-team technical decisions — table designs, upstream schema changes, migration plans (e.g., Hive → Trino) — via design docs and reviews.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;Data Visualization, Metric Governance \u0026amp;amp; Enablement\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own the design and quality of executive and cross-functional dashboards in Tableau and/or Superset.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive metric governance — clear definitions, owners, source-of-truth queries, validation, deprecation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enable self-serve analytics for Data Scientists, Analysts, and PMs — clear naming, documentation, certified metrics, sensible defaults, and coaching.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-start=\u0026quot;774\u0026quot; data-end=\u0026quot;910\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;9+ years of combined experience\u0026lt;/strong\u0026gt; in Data Analytics, Business Intelligence, or Analytics Engineering roles.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;At least \u0026lt;strong\u0026gt;3+ years at Senior level or above\u0026lt;/strong\u0026gt; in an analytics-adjacent role at a high-scale tech, ads-tech, marketplace, or fintech company.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience as the \u0026lt;strong\u0026gt;most senior analytics IC\u0026lt;/strong\u0026gt; on an embedded team — or a strong case for why they\u0026#39;re ready to step into that role now.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of leading \u0026lt;strong\u0026gt;end-to-end analytics initiatives\u0026lt;/strong\u0026gt; — from ambiguous business question through data model, pipeline, dashboard, and rollout.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience partnering directly with \u0026lt;strong\u0026gt;US-based Data Science, Product, and Engineering leaders\u0026lt;/strong\u0026gt; as a full contributor.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;Technical Skills — SQL \u0026amp;amp; Data Engineering (Advanced)\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Expert-level SQL — deep proficiency with window functions, CTEs, complex joins, query optimization, incremental patterns, skew mitigation, and cost tuning on billion+ row tables.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep hands-on with at least two of: Presto, Trino, Hive, Spark SQL, Snowflake, BigQuery, Redshift. Can reason about query plans and physical layout, not just syntax.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Advanced Airflow — has architected and operated large DAG ecosystems (50+ production DAGs), including cross-DAG dependencies, backfills at scale, and SLA management. Equivalent orchestrators (Dagster, Prefect) also acceptable if depth is comparable.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data architecture \u0026amp;amp; modeling depth — Kimball, star schema, dimensional modeling, OLAP cubes, wide fact tables, slowly-changing dimensions, semantic layer design. Can defend design tradeoffs in a design review.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;ETL / ELT architecture — incremental loads, backfills, idempotency, data quality frameworks, lineage.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Python for data work — pandas, PySpark, scripting, and light tooling development.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;dbt or equivalent transformation framework experience strongly preferred.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience contributing to or reviewing design docs and RFCs for data platforms and pipelines.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;Technical Skills — Visualization\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Deep, hands-on production experience building executive-grade dashboards in Tableau and/or Apache Superset (Looker, Power BI, Mode also acceptable).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong opinions on dashboard design — headline vs. drilldown metrics, layout, filters, performance, self-serve UX.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience driving metric governance and self-serve BI at an org level.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;Analytics \u0026amp;amp; Business Skills\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Strong grasp of KPI definition, metric design, funnel analysis, cohort analysis, and A/B testing methodology.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep exposure to digital advertising / monetization metrics — impressions, clicks, CTR, CPM, CPC, CVR, ROAS, revenue attribution, incrementality — is strongly preferred.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience at ads-tech, digital media, or major consumer/marketplace tech companies (Meta, Google, Amazon, Uber, DoorDash, Snap, TikTok, LinkedIn, Airbnb, Instacart, Pinterest peers, etc.) is a strong plus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort reading experiment results and challenging methodology when needed.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;Leadership, Communication \u0026amp;amp; Ways of Working\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Native or near-native English (spoken and written) — this is a hard requirement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of leading initiatives end-to-end with minimal direction — scoping, aligning stakeholders, executing, and communicating results.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable pushing back on unclear or misdirected requirements and proposing better approaches.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prolific writer of design docs, RFCs, requirement docs, and postmortems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience mentoring or coaching less-senior analysts and analytics engineers — even if not a formal manager.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive presence — can present analytics work to Director/VP-level stakeholders and defend recommendations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Operates with the ownership mindset of a permanent employee, even in a contract role.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected salary range for this position is $130,000 – $150,000 USD per year, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026864009,"name":"ICL- (Engineering) \u0026 Solutions","child_ids":[],"parent_id":4026860009}],"offices":[{"id":4026800009,"name":"Innodata Canada","location":null,"child_ids":[4026801009,4026802009],"parent_id":null}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4375064009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4216609009,"location":{"name":"Remote - Canada"},"metadata":null,"id":4375064009,"updated_at":"2026-08-19T18:07:39-04:00","requisition_id":"97","title":"Lead Analytics Engineer ","company_name":"Innodata Inc.","first_published":"2026-08-19T17:56:30-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are hiring a Staff / Lead-level Data Analyst / Analytics Engineer to embed with the Monetization Data Science \u0026amp;amp; Analytics team as a senior individual contributor and technical leader. This person will be the go-to analytics expert for advertiser revenue, monetization performance, and growth metrics — trusted by Data Scientists, Analysts, PMs, and Engineering leaders to drive high-impact work end-to-end.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a staff-level Individual Contributor role, not a mid-level execution seat. The successful candidate operates as:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A trusted thought partner to Data Scientists and Product leaders — someone who improves the quality of the \u0026lt;em\u0026gt;question\u0026lt;/em\u0026gt; before answering it.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A technical leader who sets standards for data models, pipelines, and dashboards that others follow.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A force multiplier who unblocks the team by identifying and fixing root causes across the data stack, not just building what\u0026#39;s asked.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-start=\u0026quot;774\u0026quot; data-end=\u0026quot;910\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;50% — Analytics, Business Insights \u0026amp;amp; Technical Leadership\u0026lt;/strong\u0026gt; Partnering with Data Scientists and Product on the hardest analytics problems; driving metric definitions; reviewing others\u0026#39; analyses; setting standards for the team\u0026#39;s analytics work.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;30% — Data Engineering \u0026amp;amp; Pipeline Ownership\u0026lt;/strong\u0026gt; Architecting and owning production SQL pipelines, data models, and data cubes; designing and operating Airflow DAGs; setting the bar for data quality, reliability, and reconciliation across the domain.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;20% — Data Visualization, Metric Governance \u0026amp;amp; Enablement\u0026lt;/strong\u0026gt; Owning executive-visibility dashboards in Tableau / Superset; defining and governing metrics; enabling self-serve analytics for the broader Monetization org.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;Analytics Leadership \u0026amp;amp; Business Partnership\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Serve as the senior analytics IC for the Monetization Analytics pod — the person Data Scientists and PMs come to with the hardest, most ambiguous data problems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Improve the \u0026lt;em\u0026gt;quality of the question\u0026lt;/em\u0026gt; before answering — reframe vague asks into sharper, more valuable analytical approaches.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead end-to-end analytics initiatives that span data modeling, pipeline work, and dashboard delivery — with minimal supervision and clear stakeholder communication throughout.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Set metric definitions and standards for advertiser revenue, monetization performance, funnel/cohort metrics, and experiment readouts — and drive consistency across dashboards.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Independently drive root-cause analysis on data discrepancies across dashboards, warehouses, or pipelines — including cross-team debugging when needed.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Review, coach, and raise the bar on the work of other analysts and analytics engineers on the team.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;Data Engineering \u0026amp;amp; Pipeline Architecture\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Architect and own production-grade SQL data pipelines (Presto / Trino / Hive / Spark SQL) — including making the right tradeoffs on incremental vs. full refresh, pre-aggregation, and cost/performance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and own data cubes, aggregate tables, and semantic layers used by the whole Monetization Analytics function.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Author, own, and operate Airflow DAGs for critical revenue and monetization pipelines — including SLAs, on-call posture, backfills, and incident response.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Set and enforce standards for data quality, reconciliation, and observability — row counts, revenue tie-outs, distribution checks, anomaly alerting — across the domain.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Optimize existing pipelines aggressively for cost and latency (partitioning, incremental refresh, query tuning on billion+ row tables) — and quantify the wins.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to cross-team technical decisions — table designs, upstream schema changes, migration plans (e.g., Hive → Trino) — via design docs and reviews.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;Data Visualization, Metric Governance \u0026amp;amp; Enablement\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own the design and quality of executive and cross-functional dashboards in Tableau and/or Superset.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive metric governance — clear definitions, owners, source-of-truth queries, validation, deprecation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enable self-serve analytics for Data Scientists, Analysts, and PMs — clear naming, documentation, certified metrics, sensible defaults, and coaching.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-start=\u0026quot;774\u0026quot; data-end=\u0026quot;910\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;9+ years of combined experience\u0026lt;/strong\u0026gt; in Data Analytics, Business Intelligence, or Analytics Engineering roles.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;At least \u0026lt;strong\u0026gt;3+ years at Senior level or above\u0026lt;/strong\u0026gt; in an analytics-adjacent role at a high-scale tech, ads-tech, marketplace, or fintech company.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience as the \u0026lt;strong\u0026gt;most senior analytics IC\u0026lt;/strong\u0026gt; on an embedded team — or a strong case for why they\u0026#39;re ready to step into that role now.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of leading \u0026lt;strong\u0026gt;end-to-end analytics initiatives\u0026lt;/strong\u0026gt; — from ambiguous business question through data model, pipeline, dashboard, and rollout.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience partnering directly with \u0026lt;strong\u0026gt;US-based Data Science, Product, and Engineering leaders\u0026lt;/strong\u0026gt; as a full contributor.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;Technical Skills — SQL \u0026amp;amp; Data Engineering (Advanced)\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Expert-level SQL — deep proficiency with window functions, CTEs, complex joins, query optimization, incremental patterns, skew mitigation, and cost tuning on billion+ row tables.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep hands-on with at least two of: Presto, Trino, Hive, Spark SQL, Snowflake, BigQuery, Redshift. Can reason about query plans and physical layout, not just syntax.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Advanced Airflow — has architected and operated large DAG ecosystems (50+ production DAGs), including cross-DAG dependencies, backfills at scale, and SLA management. Equivalent orchestrators (Dagster, Prefect) also acceptable if depth is comparable.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data architecture \u0026amp;amp; modeling depth — Kimball, star schema, dimensional modeling, OLAP cubes, wide fact tables, slowly-changing dimensions, semantic layer design. Can defend design tradeoffs in a design review.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;ETL / ELT architecture — incremental loads, backfills, idempotency, data quality frameworks, lineage.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Python for data work — pandas, PySpark, scripting, and light tooling development.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;dbt or equivalent transformation framework experience strongly preferred.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience contributing to or reviewing design docs and RFCs for data platforms and pipelines.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;Technical Skills — Visualization\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Deep, hands-on production experience building executive-grade dashboards in Tableau and/or Apache Superset (Looker, Power BI, Mode also acceptable).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong opinions on dashboard design — headline vs. drilldown metrics, layout, filters, performance, self-serve UX.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience driving metric governance and self-serve BI at an org level.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;Analytics \u0026amp;amp; Business Skills\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Strong grasp of KPI definition, metric design, funnel analysis, cohort analysis, and A/B testing methodology.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep exposure to digital advertising / monetization metrics — impressions, clicks, CTR, CPM, CPC, CVR, ROAS, revenue attribution, incrementality — is strongly preferred.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience at ads-tech, digital media, or major consumer/marketplace tech companies (Meta, Google, Amazon, Uber, DoorDash, Snap, TikTok, LinkedIn, Airbnb, Instacart, Pinterest peers, etc.) is a strong plus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort reading experiment results and challenging methodology when needed.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;Leadership, Communication \u0026amp;amp; Ways of Working\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Native or near-native English (spoken and written) — this is a hard requirement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of leading initiatives end-to-end with minimal direction — scoping, aligning stakeholders, executing, and communicating results.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable pushing back on unclear or misdirected requirements and proposing better approaches.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prolific writer of design docs, RFCs, requirement docs, and postmortems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience mentoring or coaching less-senior analysts and analytics engineers — even if not a formal manager.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Executive presence — can present analytics work to Director/VP-level stakeholders and defend recommendations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Operates with the ownership mindset of a permanent employee, even in a contract role.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected salary range for this position is $130,000 – $150,000 CAD per year, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026864009,"name":"ICL- (Engineering) \u0026 Solutions","child_ids":[],"parent_id":4026860009}],"offices":[{"id":4026800009,"name":"Innodata Canada","location":null,"child_ids":[4026801009,4026802009],"parent_id":null}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4433546009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4253314009,"location":{"name":"Remote - United States"},"metadata":null,"id":4433546009,"updated_at":"2026-10-05T11:46:31-04:00","requisition_id":"139","title":"Permit Reviewer - Flexible Hours","company_name":"Innodata Inc.","first_published":"2026-10-05T11:46:03-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;We are recruiting US-based architects and certified plans examiners to evaluate the output of an AI system that performs automated building-code compliance review on architectural permit applications.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:120,\u0026amp;quot;335559740\u0026amp;quot;:280}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;The system ingests permit submissions — new builds, alterations, modifications — and issues a compliant or non-compliant determination for each applicable check, drawn from the International Building Code. Every determination comes with a cited code provision and a marked location on the drawing set showing the evidence relied upon.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:120,\u0026amp;quot;335559740\u0026amp;quot;:280}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;Your job is to tell us where the system got it wrong. You are applying the same judgment you already apply in plan review or permit preparation, to a set of determinations that have already been made. Where the system is correct, you confirm it. Where it is wrong, you correct it and the correction becomes training signal.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:160,\u0026amp;quot;335559740\u0026amp;quot;:280}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;none\u0026quot;\u0026gt;This is expert review work, not data entry. There is no volume of repetitive clicking to grind through and no generalist labeling pool to compete with — the entire premise of the program is that these judgments cannot be made by anyone without real code expertise.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:120,\u0026amp;quot;335559740\u0026amp;quot;:280}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Review and correct pass/fail verdicts, written rationales, and citation boxes on PDF plans\u0026amp;nbsp;using the in-tool editing toolkit.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;QA and correct labeling: Review AI-generated outputs, fix mislabeled data, and grade agent performance against what a real permit reviewer would conclude.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Interpret permitting checklists as an experienced reviewer would, applying the relevant requirements to the submitted plans.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Trace checklist requirements to their applicable source: IBC, IRC or other model codes, state building codes, or county/jurisdiction-specific amendments. Explain which requirement applies and why.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;ICC certification relevant to building plan review, plus actual experience reviewing permit\u0026amp;nbsp;applications and issuing or resolving plan review comments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Based in the United States, with at least 2 years of hands-on permitting experience; 5+ years strongly preferred.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep knowledge of how permitting actually works in the United States, with a preference for experience in Arizona, California, Florida, or Texas.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Plan examiner or Certified Building Official (CBO) experience and credentials. Provide certification details and the jurisdictions and project types you have reviewed.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly range for this position is $50-$75 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026849009,"name":"ICL- (Project Delivery)","child_ids":[4026856009,4026857009,4026852009,4026850009,4026851009,4026853009,4026855009,4026854009,4026858009,4026859009,4039160009],"parent_id":null}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4418503009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4242571009,"location":{"name":"Remote - United States"},"metadata":null,"id":4418503009,"updated_at":"2026-09-24T16:47:25-04:00","requisition_id":"133","title":"Principal Speech Data Linguist ","company_name":"Innodata Inc.","first_published":"2026-09-24T16:47:25-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;As speech and audio models get better, the human role gets harder, not easier — it moves from producing transcripts to defining what a correct one is, adjudicating the cases models still get wrong, and designing the human-in-the-loop workflows that keep improving them. Innodata runs high-volume segmentation and transcription workflows for the customers and frontier labs building these models, and we are hiring a principal-level linguist to own the linguistic standards and quality behind that work — today, and as the workflows evolve alongside the models over the next two years.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:160}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;This is the applied-expert counterpart to our Speech \u0026amp;amp; Audio Research Scientist. You set the standards the models are trained and measured against, and you understand the big picture: how different transcription and segmentation methods change what a model learns, and how that ripples into the speech and content-understanding systems our partners are building. You know the research and you know the tools — from IPA and acoustic analysis to forced alignment and the ASR engines our partners benchmark against — but your leverage is linguistic judgment and standard-setting at scale, not building models yourself.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:160}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;You will own the linguistic foundation of Innodata\u0026#39;s segmentation and transcription work across languages, domains, and use cases. Concretely, you will:\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:160}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Define transcription and segmentation standards, style guides, and annotation conventions — verbatim and clean/intelligent verbatim, IPA and phonetic transcription, timestamping and boundary segmentation, speaker labeling and diarization labels, disfluencies and non-speech events, code-switching, and orthographic conventions.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;2\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Establish and run the quality frameworks behind that work: rubrics, error taxonomies, adjudication processes, inter-annotator agreement, and human QA at scale.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;3\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Own the quality lifecycle for transcription and segmentation deliverables end to end — pre-processing and normalization of incoming data, quality checks at the point of acceptance, post-processing and pre-delivery validation against spec, and report creation and packaging for delivery — partnering with delivery operations on execution at scale.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;4\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Design the human-in-the-loop workflows themselves — deciding where human review, correction, and adjudication add the most value as ASR quality rises, so our experts spend their time on what the models still can\u0026#39;t do rather than on what they already can.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;5\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Handle the linguistically hard cases models fail on — accented and dialectal speech, low-resource and multilingual audio, overlapping speech, domain jargon (medical, legal, technical), and noisy acoustic conditions.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;6\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Partner with the Speech \u0026amp;amp; Audio Research Scientist to turn model objectives into transcription and segmentation specifications, and to work out how different transcription methods — verbatim versus clean, phonetic versus orthographic, and how audio is segmented and labeled — affect the training and evaluation of ASR, TTS, and speech and content-understanding models.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;7\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Train, calibrate, and mentor expert transcribers and reviewers, and build the onboarding and calibration that keep quality consistent as the work scales.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;8\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Represent Innodata\u0026#39;s transcription and segmentation approach to the customers and frontier labs we partner with, and contribute to the methodology and best-practice documentation that make our work legible to their teams.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;9\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Substantial industry experience (typically 8+ years) in transcription, segmentation, and speech-data quality — enough that you have authored standards, not only followed them. This is a principal-level role, and we weight practical depth heavily.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;10\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;A Bachelor\u0026#39;s degree in linguistics, phonetics, or computational linguistics, or a closely related field, is required — with a strong foundation in phonetics, phonology, and sociolinguistics so that IPA, prosody, disfluency, dialect, and register are native concepts. An advanced degree is preferred.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;11\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;A big-picture grasp of how transcription and segmentation choices flow downstream into modeling — how different methods change what speech and content-understanding models learn, and therefore which method fits which modeling objective. You can explain to a model builder why a transcription decision matters.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;12\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Fluency in phonetic transcription and IPA, plus hands-on experience with acoustic and phonetic analysis of speech — spectrograms, formants, pitch and prosody, and segment boundaries — applied to real, messy speech data at scale (for example in Praat).\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;13\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Deep experience with audio segmentation and its conventions — utterance and turn boundaries, timestamping, and speaker and diarization labeling — across real-world audio.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;14\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Hands-on fluency with the modern speech stack: Whisper and the commercial ASR engines your partners benchmark against (such as AssemblyAI, Deepgram, Rev, and Speechmatics), forced alignment (for example the Montreal Forced Aligner), and annotation tools such as ELAN.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;15\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Comfort scripting for speech-data work — Python for batch processing, QA, and metrics such as inter-annotator agreement and WER, plus regular expressions and Praat scripting — enough to work fluently with data and pipelines without needing an engineer for every task.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;16\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Practical data-management skills across the delivery lifecycle — pre-processing, acceptance-stage quality checks, post-processing, pre-delivery validation, and report creation and packaging — so deliverables leave the door correct, consistent, and well documented.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;17\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Multilingual capability and hands-on experience with accented, dialectal, and code-switched speech; low-resource languages a strong plus.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;18\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;A point of view on how human-in-the-loop workflows should evolve as models improve — where humans stay in the loop, where they move up to adjudication and standard-setting, and how to measure the difference.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;19\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Strong written and verbal communication, comfortable working directly with research scientists and interfacing with the customers and frontier labs we partner with.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;20\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Bonus: responsible-AI considerations for speech, such as bias across accents and dialects and privacy and consent in voice data.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected salary range for this position is $160,000 - $185,000 p/year, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-teams=\u0026quot;true\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026838009,"name":"INN - (Product) Development \u0026 Research - 383","child_ids":[],"parent_id":4026828009}],"offices":[{"id":4026804009,"name":"North America - APR","location":null,"child_ids":[4026805009],"parent_id":4026803009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4307921009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4180455009,"location":{"name":"Hybrid - Washington D.C"},"metadata":null,"id":4307921009,"updated_at":"2026-07-10T17:17:21-04:00","requisition_id":"77","title":"QA / Evaluation Lead","company_name":"Innodata Inc.","first_published":"2026-07-10T15:46:55-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Program:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Innodata\u0026#39;s Federal Practice builds the trusted data layer for critical infrastructure Trust \u0026amp;amp; Safety work. Partnering with a leading systems integrator, we\u0026#39;re delivering a modern, governed data services platform in a secure federal (IL4) environment. Over an intensive 20-week phase, you\u0026#39;ll help stand up a data services storefront, a DataCard governance framework, synthetic data integration, and Databricks write-back capabilities.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As the QA/Evaluation Lead, you\u0026#39;ll own quality and evaluation across the platform. You\u0026#39;ll design the evaluation framework that measures whether our data services and outputs meet the bar, build repeatable test and validation processes, and give the team an objective read on readiness at each milestone. Partnering with the Delivery Owner and engineering leads, you\u0026#39;ll turn quality from an afterthought into a measurable, demonstrable strength. It\u0026#39;s a role for someone who thinks rigorously about evaluation and takes pride in evidence-backed quality.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Key Responsibilities:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and own the inter-annotator agreement (IAA) methodology for the Phase 1 demonstration corpus — metric selection (Cohen\u0026#39;s kappa, Fleiss, Krippendorff\u0026#39;s alpha), sampling design, adjudication workflow, and agreement thresholds\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define evaluation framework architecture: test and evaluation plans, IAA targets, drift detection gates, and model performance metrics per SOW Section 2.9\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Configure and operate sampling-based quality control across the self-service and white-glove annotation paths during Phase D corpus production\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and implement confidence-threshold escalation routing from automated annotation to senior-annotator adjudication\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Validate quality scoring and IAA computation within the Innodata data layer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support AI Solutions Engineer on evaluation design for SAM 2 and Frontier model API validation — define what \u0026#39;good enough\u0026#39; looks like quantitatively\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Produce evaluation framework documentation for the Phase 1 NPP closeout package, including per-DataCard documentation with the SA\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Must-Have Qualifications:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Statistics, Data Science, Computer Science, or related quantitative field required; Master\u0026#39;s degree preferred. Equivalent experience may substitute for degree on a 2-for-1 basis.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;6+ years total professional experience, 4+ years in data quality, evaluation methodology, or QA on AI/ML programs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;IAA methodology expertise — Cohen\u0026#39;s kappa, Fleiss\u0026#39; kappa, Krippendorff\u0026#39;s alpha: hands-on, not theoretical\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluation framework design for AI/ML training data programs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;QC process design: sampling methodology, escalation workflows, adjudication protocols\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Python for QC tooling, metric computation, and statistical analysis\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Active Secret clearance with TS/SCI eligibility\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Nice-to-Have Qualifications:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Prior DoD or IC data quality program experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;CVAT or equivalent annotation platform QC workflow configuration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drift detection and model monitoring methodology\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with FMV / video annotation quality standards\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $45 to $50 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Note to Candidates:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;This role is not a project manager with QC responsibilities — it is a methodology expert who owns the intellectual framework behind data quality on a federal AI program. The right candidate can walk into a meeting with Government evaluators and explain exactly why the evaluation design produces trustworthy labels. That conversation is part of Phase 2 positioning.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026790009,"name":"ISL - (Project Delivery) - 101","child_ids":[4026801009,4026812009,4026794009,4026795009,4026811009,4026793009,4039161009,4026798009,4026799009,4026808009,4026796009,4026797009,4026800009,4026802009,4026803009,4026791009,4026804009,4026805009,4026806009,4026807009,4026809009,4026792009,4026813009,4026810009],"parent_id":null}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4412188009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4238604009,"location":{"name":"In Office - San Jose, California"},"metadata":null,"id":4412188009,"updated_at":"2026-09-19T11:37:03-04:00","requisition_id":"127","title":"Quality Lead, Agentic AI Workflow Evaluation","company_name":"Innodata Inc.","first_published":"2026-09-19T11:33:08-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;We are standing up a dedicated onsite team to evaluate complex, real-world agentic AI workflows for a frontier AI customer. Reviewers work through ambiguous, multi-step scenarios inside isolated test environments, assessing whether AI agents complete tasks safely, respect user intent and consent, and hold up under close scrutiny. The Quality Lead is the person accountable for whether that output is any good.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:160,\u0026amp;quot;335559740\u0026amp;quot;:276}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;This is a senior individual contributor role. You will not manage the reviewers — that sits with the Engagement Manager — but you set the standard they are held to. You own the audit sample, run calibration, keep the rubric usable as real cases stress it, and train reviewers into the work. You are also the deputy: when the Engagement Manager is out, the engagement runs on you.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:160,\u0026amp;quot;335559740\u0026amp;quot;:276}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;The quality approach here is not fully defined. We expect you to build it in partnership with the customer\u0026#39;s quality leads, or at minimum to take what they have, run it honestly, and come back with specific recommendations for where it falls short.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;201341983\u0026amp;quot;:0,\u0026amp;quot;335559739\u0026amp;quot;:160,\u0026amp;quot;335559740\u0026amp;quot;:276}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Own the quality system for the engagement: audit design, sampling strategy, scoring standards, and how quality gets measured and reported\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:100}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Build that system with the customer\u0026#39;s quality leads where none exists, and where one does, operate it and recommend concrete improvements based on what the data shows\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:100}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Re-score a sample of reviewer output as a second pass; identify error patterns rather than isolated mistakes\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:100}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Run calibration sessions: surface disagreement, work it to resolution, and document the reasoning so the outcome holds for future cases\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:100}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Maintain rubric health — flag criteria that are ambiguous, overlapping, or silent on cases the team keeps hitting, and drive revisions through the customer\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:100}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Train and onboard new reviewers, including nesting plans, ramp criteria, and the judgment call on when someone is production-ready\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:100}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Give the Engagement Manager the evidence behind performance conversations: who is drifting, on what, and whether coaching is working\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:100}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Report quality trends to the Engagement Manager and, alongside them, to the customer\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:100}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Deputize for the Engagement Manager on delivery operations during absences\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:100}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Maintain information security, privacy, and facility access practices required by the customer\u0026#39;s onsite environment\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:100}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Bachelor\u0026#39;s degree or equivalent practical experience\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:100}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;4+ years in quality assurance, quality management, or senior review work within annotation, evaluation, trust and safety, or a similarly judgment-intensive domain\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:100}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Direct experience owning a quality function: you designed the audit, not just executed someone else’s\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:100}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Significant experience with AI/ML evaluation work: annotation, red-teaming, RLHF, model or agent evaluation, or trust and safety review\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:100}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Hands-on familiarity with agentic systems: tool use, multi-step task execution, sandboxed environments, and common failure modes\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:100}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Demonstrated ability to run calibration with peers — including holding a position under disagreement and changing it when the argument is better\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:100}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Strong written communication; able to document a scoring standard clearly enough that a reviewer can apply it and an auditor can check it\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:100}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Comfortable in spreadsheets and in a dashboarding tool, with enough Python or SQL to pull and slice your own data (you will not be asked to build interfaces)\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:100}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Experience training or onboarding reviewers into rubric-based work\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:100}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $75-85 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026802009,"name":"ISL - Google - GGLCS - (Project Delivery)","child_ids":[],"parent_id":4026790009}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4404732009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4234131009,"location":{"name":"Remote - United States"},"metadata":null,"id":4404732009,"updated_at":"2026-09-24T12:48:49-04:00","requisition_id":"120","title":"Research Data Scientist","company_name":"Innodata Inc.","first_published":"2026-09-12T17:07:07-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for a highly skilled Research Data Scientist – GenAI/LLM to join our AI/LLM Delivery Unit and work on research-driven AI/ML initiatives involving Generative AI, Large Language Models (LLMs), NLP, multimodal AI, model evaluation, and AI data.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The role combines strong research and analytical capabilities with hands-on AI/ML expertise, requiring the candidate to design experiments, develop evaluation methodologies, analyze complex datasets, build research prototypes, and translate research findings into practical AI/ML solutions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The ideal candidate will have a strong research orientation, excellent statistical and analytical skills, and the ability to work collaboratively with researchers, data scientists, AI/ML engineers, domain experts, and client-facing teams.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;AI/ML \u0026amp;amp; Generative AI Research:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Conduct independent and collaborative research in Generative AI, LLMs, NLP, multimodal AI, machine learning, model evaluation, and AI data.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Formulate research questions and translate complex AI/ML problems into structured research methodologies and experiments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design, execute, and analyze experiments to evaluate and improve AI/ML models and solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build analytical models, prototypes, and research pipelines using Python and relevant ML frameworks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Stay current with emerging research, methodologies, papers, and developments in GenAI, LLMs, NLP, multimodal models, and AI evaluation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;LLM \u0026amp;amp; Model Evaluation:\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Develop and implement LLM evaluation frameworks, benchmarks, datasets, and evaluation criteria.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluate models for accuracy, robustness, bias, hallucination, reasoning, relevance, response quality, and other performance dimensions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Conduct model benchmarking, error analysis, comparative analysis, and performance evaluation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work on areas such as RAG, SFT, RLHF/DPO, prompt engineering, fine-tuning, embeddings, and LLM optimization, as applicable.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify model and data gaps and recommend improvements to enhance model performance and reliability.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Data Science \u0026amp;amp; Statistical Research:\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Collect, clean, analyze, and interpret large and complex structured and unstructured datasets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Perform EDA, statistical analysis, hypothesis testing, significance testing, correlation analysis, sampling, and error analysis.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop data-driven insights and identify patterns, trends, and relationships relevant to AI/ML research.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Apply appropriate statistical and quantitative methodologies to validate research findings\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;AI Data \u0026amp;amp; Dataset Development:\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Develop and evaluate datasets, sampling methodologies, taxonomies, annotation frameworks, data quality frameworks, and evaluation criteria for AI/ML models.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Analyze data quality and identify issues affecting model performance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with annotation, data engineering, and AI/ML teams to improve AI training and evaluation data.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Translate data and research findings into actionable recommendations for improving AI system\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Research \u0026amp;amp; Innovation:\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Contribute to research papers, technical reports, whitepapers, patents, benchmarks, internal publications, and other research outputs, where applicable.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify opportunities to apply emerging research and technologies to real-world AI and data challenges.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Explore new methodologies, models, datasets, and evaluation approaches to improve AI capabilities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to capability building and innovation within the AI/LLM practice\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Collaboration \u0026amp;amp; Stakeholder Engagement:\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Work closely with researchers, data scientists, AI/ML engineers, data/annotation teams, domain experts, and delivery teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Present research findings, analytical insights, and technical recommendations to senior technical stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Translate complex research and technical concepts into clear, actionable recommendations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Where required, participate in client-facing technical discussions and presentations and help translate business requirements into AI/ML solutions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Statistics, Mathematics, Computational Science, or a related discipline.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s/Master’s degree from IITs, NITs, or other premier engineering/research institutions is strongly preferred.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;4–7 years of hands-on research experience in AI/ML, Data Science, NLP, Generative AI, LLMs, or related areas.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong demonstrated research experience with the ability to independently formulate research questions, design experiments, analyze results, and communicate findings.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated research track record through research publications, patents, conference presentations, open-source contributions, or significant AI/ML research projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Candidates with publications in reputed conferences/journals and a strong academic/research profile will be preferred\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong proficiency in Python and SQL.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong hands-on experience with NumPy, Pandas, Scikit-learn, and preferably PyTorch/TensorFlow.\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-style: italic;\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Strong understanding of:\u0026lt;/em\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-style: italic;\u0026quot;\u0026gt;Machine learning algorithms\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-style: italic;\u0026quot;\u0026gt;Statistics and experimentation\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-style: italic;\u0026quot;\u0026gt;Data analysis and feature engineering\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-style: italic;\u0026quot;\u0026gt;Model evaluation and performance metrics\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hypothesis testing and statistical inference\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on exposure to LLMs, NLP, Generative AI, and multimodal AI.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with one or more of RAG, LLM evaluation, prompt engineering, fine-tuning, SFT, RLHF/DPO, embeddings, or model benchmarking.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with large-scale structured and unstructured datasets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with Git and cloud platforms such as AWS, Azure, or GCP is desirable.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected salary range for this position is $160,000 - $185,000 p/year, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026790009,"name":"ISL - (Project Delivery) - 101","child_ids":[4026801009,4026812009,4026794009,4026795009,4026811009,4026793009,4039161009,4026798009,4026799009,4026808009,4026796009,4026797009,4026800009,4026802009,4026803009,4026791009,4026804009,4026805009,4026806009,4026807009,4026809009,4026792009,4026813009,4026810009],"parent_id":null}],"offices":[{"id":4026799009,"name":"INN - Remote - US","location":null,"child_ids":[],"parent_id":4026797009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4418510009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4242577009,"location":{"name":"Remote - United States"},"metadata":null,"id":4418510009,"updated_at":"2026-09-24T16:48:04-04:00","requisition_id":"134","title":"Research Scientist, Robotics \u0026 World Models ","company_name":"Innodata Inc.","first_published":"2026-09-24T16:48:04-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Progress in physical AI is gated as much by data design as by model architecture. The best manipulation and locomotion policies, vision-language-action models, and world models are only as good as the trajectories, demonstrations, and environments they learn from — so the highest-leverage decisions are made long before a model trains: what to capture, what to synthesize, how to represent an action, and how to know whether any of it will transfer to a real robot. Innodata is building the data and evaluation practice behind the next generation of robotics foundation models, in direct partnership with the customers and frontier labs defining that frontier. We are hiring a Research Scientist to own the science of that data.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:160}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;You will partner directly with the customers and frontier labs building robot foundation models, as interested in the data those models learn from as in the models themselves. Your leverage is scientific judgment about data: deciding what is worth capturing in the real world versus generating in simulation, how to weight a training mix across embodiments and sensors, and how to measure whether a policy will hold up outside the lab. Your conclusions will shape what our partners collect next.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:160}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;You will define how Innodata designs, structures, and evaluates data for robot foundation models, and you will validate those choices experimentally. Concretely, you will:\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:160}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Translate the requirements of robotics foundation models — vision-language-action models, world models, and manipulation and locomotion policies — into concrete data specifications: modalities, action representations (tokenization, chunking, diffusion and flow-matching action experts), sampling, annotation schemas, and evaluation criteria.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;2\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Decide what is worth capturing in the real world versus generating in simulation, and curate and weight training mixes across heterogeneous robot datasets that span different embodiments, action spaces, and sensor setups.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;3\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Guide collection across capture modalities — motion capture, egocentric, exocentric, teleoperation, and multi-sensor — and across synthetic pipelines, so that what we produce maps cleanly to model needs rather than accumulating for its own sake.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;4\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Build evaluation and benchmarking methodology that predicts real-world transfer — coverage, discriminative power, reliability, and sim-to-real fidelity — including world-model evaluation (rollout quality and action-conditioned prediction) and the domain-randomization and system-identification choices that close the sim-to-real gap.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;5\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Run the experiments that prove it: fine-tune and evaluate foundation models on Innodata data, with data-quality ablations and scaling studies that demonstrate specific data decisions produce measurable model improvement.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;6\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Design adversarial and long-horizon evaluations that surface where policies and world models break, and turn those failure modes into better data.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;7\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Publish. Turn what you learn into benchmarks, methodology, and papers that advance the field and earn the trust of the customers and frontier labs we partner with.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;8\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Collaborate with the capture lab, annotation teams, and the synthetic-data pipeline to turn specifications into operational collection and labeling plans.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;9\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Roughly 4+ years of hands-on industry experience in robot learning or robotics ML. We weight practical experience over formal credentials; because the field is young, a PhD with a compelling, current research agenda can offset the lower end, and we will also consider very senior candidates with the right background.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;10\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;A Bachelor\u0026#39;s degree in computer science, electrical engineering, robotics, or a related technical field is required; an advanced degree (MS or PhD) in a relevant field is preferred.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;11\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Trained and evaluated robot policies yourself — manipulation or locomotion via imitation learning or reinforcement learning — with strong PyTorch fundamentals. You build and measure models, you don\u0026#39;t just call them.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;12\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;A way of thinking in datasets: you have curated, filtered, and weighted robot data across embodiments and sensors, and you have real opinions about what makes it good for a given objective.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;13\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Fluency in robotics data formats and standards — the LeRobot dataset format, RLDS, and Open X-Embodiment — along with common motion and sensor formats.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;14\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Hands-on experience with simulation and synthetic data — NVIDIA Isaac Sim, Isaac Lab, and Omniverse, or MuJoCo and comparable engines — including domain randomization, system identification, and sim-to-real transfer.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;15\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Experience with teleoperation or egocentric data collection, and comfort adapting VLM backbones for control and fine-tuning large VLA models with the modern toolchain (HuggingFace transformers, PEFT).\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;16\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;A track record the field recognizes: first-author publications or strong open-source contributions at venues such as CoRL, ICRA, IROS, RSS, or NeurIPS.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;17\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;The ability to work directly with the research scientists at the customers and frontier labs we partner with, and to explain data and modeling decisions clearly to both expert and non-expert audiences, backed by a rigorous, reproducible approach to experiments and documentation.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;18\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Bonus: interest or hands-on experience in responsible-AI evaluation and red-teaming for embodied systems, for example safety and robustness testing.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected salary range for this position is $160,000 - $185,000 p/year, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-teams=\u0026quot;true\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026838009,"name":"INN - (Product) Development \u0026 Research - 383","child_ids":[],"parent_id":4026828009}],"offices":[{"id":4026804009,"name":"North America - APR","location":null,"child_ids":[4026805009],"parent_id":4026803009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4418479009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4242556009,"location":{"name":"Remote - United States"},"metadata":null,"id":4418479009,"updated_at":"2026-09-24T16:49:28-04:00","requisition_id":"132","title":"Research Scientist, Speech \u0026 Audio ","company_name":"Innodata Inc.","first_published":"2026-09-24T16:49:28-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Where models actually differ now is robustness across accents, noise, and code-switching; speaker diarization; the naturalness of generated speech; and latency under streaming. Measuring those honestly, and building the data that trains for them, is gated as much by data and evaluation design as by architecture. Innodata builds that data and those evaluations for the customers and frontier labs advancing speech and audio models, and we are hiring a Research Scientist to own the science behind it.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:160}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;You will partner directly with the customers and frontier labs building ASR, text-to-speech, speech-to-speech and conversational voice, diarization, and audio-language models, as interested in the data behind them as in the models themselves. Your work is judgment: which conditions and languages a benchmark must cover to be honest, what a transcription convention should be for a given objective, and when an automated metric can be trusted versus when a human ear is required. You will also partner closely with our transcription and linguistics lead, whose standards directly shape what the models learn.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:160}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;You will define how Innodata designs, structures, and evaluates audio data for speech and audio models, and you will validate those choices experimentally. Concretely, you will:\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:160}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Translate the requirements of speech and audio models — ASR, text-to-speech and speech generation, speech-to-speech and conversational voice, speaker diarization and verification, audio-language models, and streaming systems — into concrete data specifications: modalities, transcription and annotation schemas, sampling, and evaluation criteria.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;2\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Build evaluation methodology that goes past word error rate — semantic accuracy, robustness to noise and accent, code-switching, diarization error rate (DER), naturalness and intelligibility of generated speech, and streaming latency — and know when automated metrics hold and when they don\u0026#39;t.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;3\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Decide how existing and incoming audio should be structured, enriched, and sampled for coverage that fits the model objective — across languages, accents, and acoustic conditions (studio, real-world, telephonic), speaker demographics, emotional and paralinguistic range, scripted versus spontaneous speech, and single- versus multi-speaker settings, including low-resource and code-switched speech.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;4\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Partner with the transcription and linguistics lead to turn model objectives into transcription specifications, and to quantify how transcription conventions and quality move ASR and speech-model results.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;5\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Partner with the audio solutions and engineering team so the audio we collect is built for the model objective: you specify what good data and evaluation require, and they scope programs with customers and capture audio to spec.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;6\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Run experiments that prove data decisions matter: fine-tune and evaluate models on Innodata data, with ablations tying specific data choices to measurable improvement.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;7\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Design adversarial and stumping evaluations — noisy, accented, and adversarial audio — that surface where speech systems fail, and turn those failures into better data.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;8\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Publish. Turn what you learn into benchmarks, methodology, and papers that advance the field and earn the trust of the customers and frontier labs we partner with.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;9\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Work with annotation teams, subject-matter experts, and the synthetic- and augmented-audio pipeline to turn specifications into operational plans.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;10\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Roughly 5+ years of hands-on industry experience in speech or audio ML. We weight practical experience over formal credentials; a PhD with a compelling, current research agenda can offset the lower end.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;11\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;A Bachelor\u0026#39;s degree in computer science, electrical engineering, or a related technical or quantitative field is required; an advanced degree (MS or PhD) in a relevant field is preferred.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;12\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Trained and evaluated speech or audio models yourself — ASR, TTS, speech-to-speech, speaker, or audio-language models — with strong PyTorch fundamentals.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;13\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Fluency in the toolchains and metrics speech work runs on: ESPnet, NeMo, SpeechBrain, or Kaldi, HuggingFace, forced alignment, and WER/CER and the metrics that go beyond them.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;14\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Hands-on experience with multilingual, accented, dialectal, low-resource, or code-switched speech, and with synthetic or augmented audio (TTS pipelines, noise and room-response simulation).\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;15\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;A way of thinking in datasets: you have built evaluation sets, reasoned about coverage across conditions, and argued about what makes speech data good for a given objective.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;16\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;A track record the field recognizes: first-author publications or strong open-source contributions at venues such as Interspeech, ICASSP, ASRU, SLT, or NeurIPS.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;17\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;The ability to work directly with the research scientists at the customers and frontier labs we partner with, and to explain data and modeling decisions clearly to both expert and non-expert audiences, backed by a rigorous, reproducible approach to experiments and documentation.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;18\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Bonus: interest or hands-on experience in responsible-AI evaluation and red-teaming — for example spoofing and voice-cloning robustness, or bias across accents and languages.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected salary range for this position is $160,000 - $185,000 p/year, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026838009,"name":"INN - (Product) Development \u0026 Research - 383","child_ids":[],"parent_id":4026828009}],"offices":[{"id":4026804009,"name":"North America - APR","location":null,"child_ids":[4026805009],"parent_id":4026803009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4415074009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4240253009,"location":{"name":"Remote - United States"},"metadata":null,"id":4415074009,"updated_at":"2026-09-24T16:49:49-04:00","requisition_id":"130","title":"Research Scientist, Video \u0026 Multimodal","company_name":"Innodata Inc.","first_published":"2026-09-24T16:49:39-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;div class=\u0026quot;x_x_elementToProof\u0026quot;\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Video is where multimodal models are weakest and hardest to grade. Temporal reasoning, long-form understanding, grounding events in time, and holding audio, video, and text together do not fall out of image benchmarks — and the evaluations for them are still immature. Closing that gap is gated as much by how we design data and evaluation as by architecture. Innodata builds that data and those evaluations for the customers and frontier labs advancing video and multimodal models, and we are hiring a Research Scientist to own the science behind it.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:160}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;You will partner directly with the customers and frontier labs building video understanding, video-language, and video-generation models, as interested in the data behind them as in the models themselves. Video spans two model families judged in completely different ways: models that understand video — answering questions, localizing events, grounding language in time — where the question is whether the answer is correct; and models that generate it, where fidelity, temporal coherence, and physical plausibility matter and no automatic metric is settled. You own the evaluation science for both, and knowing when model-based scoring can stand in for a human versus when it can\u0026#39;t. Your conclusions shape what our partners measure and collect next.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:160}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;You will define how Innodata designs, structures, and evaluates video data for video and multimodal models, and you will validate those choices experimentally. Concretely, you will:\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:160}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;1\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Translate the requirements of video and multimodal models — video understanding, temporal and event localization, action recognition, long-form video, video-language models, video generation, cross-modal reasoning, and multimodal retrieval and grounding — into concrete data specifications: modalities, annotation schemas, sampling, and evaluation criteria.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;2\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Build evaluation methodology for video understanding — temporal grounding accuracy, long-context and long-horizon reasoning, and dynamic multi-turn, cross-modal, and retrieval-and-grounding evaluation — clear about when model-based scoring is trustworthy and when a human is needed.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;3\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Build evaluation methodology for video generation — fidelity, temporal coherence, and physical plausibility, including generative video used as a world model — the regime where automatic metrics are weakest and human judgment matters most.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;4\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Decide how existing and incoming video should be structured, enriched, and sampled to extract the most model value from it, including from messy, domain-specific footage.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;5\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Run experiments that prove data decisions matter: fine-tune and evaluate models on Innodata data, with ablations tying specific data choices to measurable improvement.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;6\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Design adversarial and stumping evaluations that surface where video and multimodal systems fail, and turn those failures into better data.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;7\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Publish. Turn what you learn into benchmarks, methodology, and papers that advance the field and earn the trust of the customers and frontier labs we partner with.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;8\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Work with annotation teams, subject-matter experts, and the synthetic-data pipeline to turn specifications into operational collection and labeling plans.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;9\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Roughly 5+ years of hands-on industry experience in video understanding or multimodal ML. We weight practical experience over formal credentials; a PhD with a compelling, current research agenda can offset the lower end.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;10\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;A Bachelor\u0026#39;s degree in computer science, electrical engineering, or a related technical or quantitative field is required; an advanced degree (MS or PhD) in a relevant field is preferred.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;11\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Trained and evaluated video or multimodal models yourself, with strong PyTorch fundamentals.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;12\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Fluency in the formats and tooling video work runs on: ffmpeg and decord pipelines, temporal and COCO-style annotation, WebDataset, Parquet and Arrow, and HuggingFace datasets.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;13\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Experience fine-tuning large video or vision-language models with the modern toolchain (HuggingFace transformers, PEFT, efficient inference), and with long-form video, streaming, temporal segmentation, or synthetic video generation.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;14\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;A way of thinking in datasets and benchmarks: you have built evaluation sets, calibrated difficulty, and argued about what makes video data good for a given objective.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;15\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;A track record the field recognizes: first-author publications or strong open-source contributions at venues such as CVPR, ICCV, ECCV, NeurIPS, or ICLR.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;16\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;The ability to work directly with the research scientists at the customers and frontier labs we partner with, and to explain data and modeling decisions clearly to both expert and non-expert audiences, backed by a rigorous, reproducible approach to experiments and documentation.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-leveltext=\u0026quot;●\u0026quot; data-font=\u0026quot;\u0026quot; data-listid=\u0026quot;1\u0026quot; data-list-defn-props=\u0026quot;{\u0026amp;quot;335552541\u0026amp;quot;:1,\u0026amp;quot;335559685\u0026amp;quot;:720,\u0026amp;quot;335559991\u0026amp;quot;:360,\u0026amp;quot;469769242\u0026amp;quot;:[8226],\u0026amp;quot;469777803\u0026amp;quot;:\u0026amp;quot;left\u0026amp;quot;,\u0026amp;quot;469777804\u0026amp;quot;:\u0026amp;quot;●\u0026amp;quot;,\u0026amp;quot;469777815\u0026amp;quot;:\u0026amp;quot;hybridMultilevel\u0026amp;quot;}\u0026quot; data-aria-posinset=\u0026quot;17\u0026quot; data-aria-level=\u0026quot;1\u0026quot;\u0026gt;\u0026lt;span data-contrast=\u0026quot;auto\u0026quot;\u0026gt;Bonus: interest or hands-on experience in responsible-AI evaluation and red-teaming — safety and robustness testing for video and multimodal systems.\u0026lt;/span\u0026gt;\u0026lt;span data-ccp-props=\u0026quot;{\u0026amp;quot;335559739\u0026amp;quot;:80}\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected salary range for this position is $160,000 - $185,000 p/year, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026838009,"name":"INN - (Product) Development \u0026 Research - 383","child_ids":[],"parent_id":4026828009}],"offices":[{"id":4026804009,"name":"North America - APR","location":null,"child_ids":[4026805009],"parent_id":4026803009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4369593009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4213601009,"location":{"name":"Remote - United States"},"metadata":null,"id":4369593009,"updated_at":"2026-08-14T13:04:49-04:00","requisition_id":"89","title":"Robotics Data Collection Tester","company_name":"Innodata Inc.","first_published":"2026-08-13T16:42:49-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;Help train the next generation of robots and AI by recording yourself completing simple, everyday household tasks. As a Robotic Data Collection Tester, you’ll wear a head-mounted camera and follow easy instructions while your movements and activities are recorded. This is a flexible opportunity that can be completed for up to 4 hours per day from a quiet environment.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;luenvp\u0026quot; data-start=\u0026quot;379\u0026quot; data-end=\u0026quot;518\u0026quot;\u0026gt;Wear a head-mounted camera/sensor while performing everyday activities such as cooking, cleaning, organizing, or using household objects.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;1hrf1c7\u0026quot; data-start=\u0026quot;519\u0026quot; data-end=\u0026quot;587\u0026quot;\u0026gt;Follow scripted or natural task instructions while being recorded.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;1xwzba5\u0026quot; data-start=\u0026quot;588\u0026quot; data-end=\u0026quot;687\u0026quot;\u0026gt;Demonstrate realistic human movements that can be used to train and evaluate robotics/AI systems.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;5z18tp\u0026quot; data-start=\u0026quot;688\u0026quot; data-end=\u0026quot;776\u0026quot;\u0026gt;Repeatedly perform tasks while maintaining consistent procedures and safety standards.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;rlug55\u0026quot; data-start=\u0026quot;777\u0026quot; data-end=\u0026quot;856\u0026quot;\u0026gt;Review recordings for quality and report technical issues with the equipment.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;1u95w8v\u0026quot; data-start=\u0026quot;857\u0026quot; data-end=\u0026quot;972\u0026quot;\u0026gt;No robotics programming experience may be required; attention to detail and comfort being recorded are important.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;b8i5xc\u0026quot; data-start=\u0026quot;141\u0026quot; data-end=\u0026quot;201\u0026quot;\u0026gt;Recent iPhone or Android smartphone with a working camera.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;l6mb24\u0026quot; data-start=\u0026quot;202\u0026quot; data-end=\u0026quot;246\u0026quot;\u0026gt;Ability to work up to \u0026lt;strong data-start=\u0026quot;226\u0026quot; data-end=\u0026quot;245\u0026quot;\u0026gt;4 hours per day\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;fwow82\u0026quot; data-start=\u0026quot;247\u0026quot; data-end=\u0026quot;310\u0026quot;\u0026gt;Ability to work in a \u0026lt;strong data-start=\u0026quot;270\u0026quot; data-end=\u0026quot;309\u0026quot;\u0026gt;quiet, distraction-free environment\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;16isny6\u0026quot; data-start=\u0026quot;311\u0026quot; data-end=\u0026quot;422\u0026quot;\u0026gt;Comfortable wearing a head-mounted camera/strap and being recorded while completing everyday household tasks.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;ejcspo\u0026quot; data-start=\u0026quot;423\u0026quot; data-end=\u0026quot;493\u0026quot;\u0026gt;Ability to follow simple instructions and repeat tasks consistently.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;1sgtn1w\u0026quot; data-start=\u0026quot;494\u0026quot; data-end=\u0026quot;574\u0026quot;\u0026gt;Reliable internet connection and ability to upload recorded data, if required.\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;l7qbbs\u0026quot; data-start=\u0026quot;575\u0026quot; data-end=\u0026quot;653\u0026quot; data-is-last-node=\u0026quot;\u0026quot;\u0026gt;Attention to detail and willingness to follow safety and privacy guidelines\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p class=\u0026quot;Paragraph SCXW66493682 BCX2\u0026quot;\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $10-$12 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026790009,"name":"ISL - (Project Delivery) - 101","child_ids":[4026801009,4026812009,4026794009,4026795009,4026811009,4026793009,4039161009,4026798009,4026799009,4026808009,4026796009,4026797009,4026800009,4026802009,4026803009,4026791009,4026804009,4026805009,4026806009,4026807009,4026809009,4026792009,4026813009,4026810009],"parent_id":null}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4431747009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4252389009,"location":{"name":"Remote - United States"},"metadata":null,"id":4431747009,"updated_at":"2026-10-02T13:25:55-04:00","requisition_id":"138","title":"Sales Development Representative","company_name":"Innodata Inc.","first_published":"2026-10-02T13:25:25-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re looking for a Sales Development Representative who knows the GenAI landscape and loves the hunt. You\u0026#39;ll be the first point of contact for prospective clients, identifying and qualifying opportunities, building trusted relationships, and partnering closely with our Sales Director to grow our pipeline.\u0026lt;/p\u0026gt;\n\u0026lt;p data-start=\u0026quot;774\u0026quot; data-end=\u0026quot;910\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Lead Generation and Prospecting:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Conduct thorough research to identify and target potential customers within the ideal customer profile.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Utilize various outreach channels including cold calling, email, social media, and LinkedIn to connect with prospects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop personalized outreach strategies to engage prospects based on their needs and pain points.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Lead Qualification:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Conduct in-depth conversations to understand prospect needs, business challenges, and buying authority.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Qualify leads based on established criteria like company size, industry, job title, and budget.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Effectively assess the potential of each lead and prioritize opportunities accordingly.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Sales Pipeline Management:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Manage a robust pipeline of qualified leads by tracking progress and ensuring timely follow-up in salesforce.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Schedule calls and meetings between qualified prospects and the sales director.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate closely with the sales director to ensure a seamless handoff of qualified leads.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Relationship Building:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Establish rapport with potential customers and build trust through effective communication.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Nurture leads by providing valuable information and addressing concerns.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Position themselves as a trusted advisor to prospects throughout the sales cycle.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Data Analysis and Reporting:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Monitor key sales metrics and analyze performance data to identify areas for improvement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Utilize CRM tools to track outreach activities, lead qualification, and sales pipeline progression.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide regular updates to sales leader on progress and insights.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-start=\u0026quot;774\u0026quot; data-end=\u0026quot;910\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Proven track record of success in a sales development role, ideally selling experience across complex machine learning, AI and/or data labeling services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong knowledge of GenAI, to include LLM, SFT and Trust and Safety is critical.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication and interpersonal skills, including the ability to build rapport quickly.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of sales methodologies and best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to research and identify potential customers effectively.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent time management and organizational skills to manage a high volume of leads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong listening skills to understand customer needs and pain points.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected salary range for this position is $80,000 – $100,000 USD per year, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026831009,"name":"INN - (Sales) Business Development - 315","child_ids":[],"parent_id":4026828009}],"offices":[{"id":4026799009,"name":"INN - Remote - US","location":null,"child_ids":[],"parent_id":4026797009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4307847009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4180417009,"location":{"name":"Hybrid - Washington D.C"},"metadata":null,"id":4307847009,"updated_at":"2026-07-21T12:34:26-04:00","requisition_id":"74","title":"Solution Architect","company_name":"Innodata Inc.","first_published":"2026-07-09T17:00:16-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Program:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Innodata\u0026#39;s Federal Practice builds the trusted data layer for critical infrastructure Trust \u0026amp;amp; Safety work. Partnering with a leading systems integrator, we\u0026#39;re delivering a modern, governed data services platform in a secure federal (IL4) environment. Over an intensive 20-week phase, you\u0026#39;ll help stand up a data services storefront, a DataCard governance framework, synthetic data integration, and Databricks write-back capabilities.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As the Solution Architect, you\u0026#39;ll design the backbone of the platform. You\u0026#39;ll define the architecture for the data services storefront and own the DataCard governance framework that keeps our data trustworthy, documented, and compliant end to end. Working closely with the engineering team and the Delivery Owner, you\u0026#39;ll translate governance and security requirements in a secure federal (IL4) environment into a clean, defensible technical design. It\u0026#39;s a role for an architect who cares as much about data stewardship and governance as about elegant systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Key Responsibilities:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own cross-pillar architectural integrity and interface coordination across the 24-week program\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and stand up the DataCard governance framework: schema design, distribution-statement methodology (DoD Dir. 5230.24), provenance lineage\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deploy and configure ZenML multi-cloud orchestration stack per Innodata Layer 2 Multi-Cloud Architecture v3\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design taxonomy engine and sequestration controls architecture\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Confirm NIST SP 800-53 Rev 5 control split between Innodata data-layer and AFS infrastructure-layer scope\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead platform component run books and per-DataCard documentation in Phase E\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coordinate with AI Solutions Engineer on Kubernetes-adjacent data-layer DLP policy configuration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coordinate with Backend Engineer on Databricks write-back schema and DataCard write-back path\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Must-Have Qualifications:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Computer Science, Data Engineering, or related field required; Master\u0026#39;s degree preferred. Equivalent experience may substitute for degree on a 2-for-1 basis.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;10+ years total professional experience, 6+ years in data architecture or platform engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Databricks, Delta Lake, and MLflow — hands-on implementation experience, not conceptual\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data governance frameworks: DataCards, provenance, lineage, distribution statement controls\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;ZenML or equivalent ML orchestration tooling (Airflow or Prefect acceptable; must be willing to ramp ZenML quickly)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of IL4/IL5 boundary concepts, NIST SP 800-53 Rev 5, and DoD data classification requirements\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Active Secret clearance with TS/SCI eligibility\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Nice-to-Have Qualifications:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Prior Innodata or annotation platform architecture experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;MLflow model governance and registry hands-on experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ontology and taxonomy design for AI/ML training datasets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;DoD Directive 5230.24 distribution statement implementation experience\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected hourly salary range for this position is $70 to $75 p/hour, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Note to Candidates:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;This role is the primary technical decision-maker on the program below the Delivery Owner. The SA is expected to make architectural calls independently within the established framework and surface only unresolved cross-cutting decisions to the Delivery Owner.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026790009,"name":"ISL - (Project Delivery) - 101","child_ids":[4026801009,4026812009,4026794009,4026795009,4026811009,4026793009,4039161009,4026798009,4026799009,4026808009,4026796009,4026797009,4026800009,4026802009,4026803009,4026791009,4026804009,4026805009,4026806009,4026807009,4026809009,4026792009,4026813009,4026810009],"parent_id":null}],"offices":[{"id":4026794009,"name":"ISL - Remote - US","location":null,"child_ids":[],"parent_id":4026793009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4367845009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4212710009,"location":{"name":"Remote - California  "},"metadata":null,"id":4367845009,"updated_at":"2026-09-02T18:25:39-04:00","requisition_id":"88","title":"Strategic Account Manager","company_name":"Innodata Inc.","first_published":"2026-08-13T14:59:15-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p data-start=\u0026quot;774\u0026quot; data-end=\u0026quot;910\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-olk-copy-source=\u0026quot;MessageBody\u0026quot;\u0026gt;Strategic Account Manager wanted by Innodata, Inc. in San Francisco, CA.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p data-start=\u0026quot;774\u0026quot; data-end=\u0026quot;910\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-olk-copy-source=\u0026quot;MessageBody\u0026quot;\u0026gt;Coordinate with internal teams, such as data engineers, analysts, and project managers, to ensure timely and successful delivery of client projects; \u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-olk-copy-source=\u0026quot;MessageBody\u0026quot;\u0026gt;Monitor project progress, identify potential risks or issues, and proactively address them to ensure client satisfaction; \u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-olk-copy-source=\u0026quot;MessageBody\u0026quot;\u0026gt;Manage project scope, timelines, and budgets, and communicates any changes or updates to clients promptly; \u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-olk-copy-source=\u0026quot;MessageBody\u0026quot;\u0026gt;Serve as the primary point of contact for assigned accounts, managing client relationships, and ensuring high levels of client satisfaction;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-olk-copy-source=\u0026quot;MessageBody\u0026quot;\u0026gt;Conduct regular client meetings, presentations, and status updates to ensure effective communication and project progress.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-olk-copy-source=\u0026quot;MessageBody\u0026quot;\u0026gt; Architect cross-functional delivery plans with technical and operations teams, managing risk and iteration at scale; \u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-olk-copy-source=\u0026quot;MessageBody\u0026quot;\u0026gt;Present insights and program expansion strategies to product, safety, and procurement leads to client; \u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-olk-copy-source=\u0026quot;MessageBody\u0026quot;\u0026gt;Shape roadmap of emerging services based on client need and delivery capability; \u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-olk-copy-source=\u0026quot;MessageBody\u0026quot;\u0026gt;Develop and implement account plans to ensure client retention and long-term partnerships.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-start=\u0026quot;774\u0026quot; data-end=\u0026quot;910\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Minimum Requirements:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-olk-copy-source=\u0026quot;MessageBody\u0026quot;\u0026gt;Master’s degree in Business Administration, Marketing or a closely related field and 2 years of progressive, post-baccalaureate experience in any related occupation. \u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-olk-copy-source=\u0026quot;MessageBody\u0026quot;\u0026gt;Must have 2 years of experience in managing senior level client engagements end-to-end from strategy design through execution, to align strategic priorities with operational delivery. \u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-olk-copy-source=\u0026quot;MessageBody\u0026quot;\u0026gt;Must have 2 years of experience in crafting strategies for operational or technology-driven initiatives, using both quantitative and qualitative research methods. Any required experience may have been gained concurrently\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The salary for this position is $183,102 USD per year.\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-olk-copy-source=\u0026quot;MessageBody\u0026quot;\u0026gt;Please apply at\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;a href=\u0026quot;https://protect.checkpoint.com/v2/r05/___https:/innodatacareers.com/___.YXBzMTppbm5vZGF0YWluOmM6bzpjNDI1NGJjMDViZmZmMGI1ODQzMTk1OTBmMjhlNDVkNDo3OmU5ODc6YWEzYjNhY2U4NGYwYTc4OTUzNzI3YWZiYjJlMzczMTJiMjJjOTc2YWY1ZWQ1Yjk4NDk5NjU2Yzk4ZDRmNmYyYjpoOlQ6Rg\u0026quot; data-auth=\u0026quot;NotApplicable\u0026quot; data-linkindex=\u0026quot;0\u0026quot;\u0026gt;https://innodatacareers.com/\u0026lt;/a\u0026gt;\u0026lt;strong\u0026gt;\u0026amp;nbsp;or send resume to\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;a href=\u0026quot;mailto:talent@innodata.com\u0026quot; data-linkindex=\u0026quot;1\u0026quot;\u0026gt;talent@innodata.com\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;strong\u0026gt;and place job title in Subject line.\u0026lt;/strong\u0026gt;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026829009,"name":"INN - (Sales) - 310","child_ids":[],"parent_id":4026828009}],"offices":[{"id":4026799009,"name":"INN - Remote - US","location":null,"child_ids":[],"parent_id":4026797009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4404002009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4233670009,"location":{"name":"Remote - United States"},"metadata":null,"id":4404002009,"updated_at":"2026-09-17T14:53:46-04:00","requisition_id":"118","title":"Technical Delivery Manager","company_name":"Innodata Inc.","first_published":"2026-09-11T15:31:43-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for a Technical Delivery Manager (TDM) to own end-to-end program management for our AI/ML engagements — spanning ML model development, training and fine-tuning, LLM-based solutions, data pipelines, model evaluation, and broader AI/ML workflows.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role is the single point of contact (SPOC) for clients and internally coordinates across CXO’s, practice heads, engineering, hiring, operations teams. The TDM acts as the orchestrator of the entire delivery engine, ensuring that what clients expect and what gets delivered stay tightly aligned at every stage, while proactively identifying and resolving risks before they become issues.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Program \u0026amp;amp; Delivery Management:\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own the end-to-end delivery roadmap for AI/ML programs, including ML model development, training/fine-tuning, LLM implementations, and model evaluation workstreams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Translate client requirements and business goals into structured delivery plans, milestones, and success metrics.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track scope, timelines, budgets, and resourcing across multiple concurrent AI/ML projects; proactively flag slippages and drive corrective action.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish and maintain governance cadences (status reviews, steering committee updates, sprint/iteration reviews) across all active engagements.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Client \u0026amp;amp; Stakeholder Management:\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Serve as the single SPOC for clients — managing relationships from day-to-day points of contact through to CXO-level stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Run regular client check-ins, business reviews, and escalation calls; present delivery status, risks, and outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure client expectations are clearly captured, documented, and continuously validated against what is actually being built and delivered — closing any gaps before they surface as dissatisfaction.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build trusted advisor relationships that support account growth and renewal.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Cross-Functional Orchestration:\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Act as the connective tissue between practice heads, engineering teams, hiring/talent acquisition, and operations, ensuring everyone is working off the same delivery plan and priorities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coordinate staffing and hiring pipelines with TA/HR to ensure the right talent is available in time for project ramp-up.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with practice/technical leads to validate solution approaches, technical feasibility, and effort estimates before commitments are made to clients.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with operations on resourcing, utilization, invoicing/billing milestones, and contractual compliance.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Risk, Quality \u0026amp;amp; Proactive Issue Management:\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Proactively identify delivery risks (technical, resourcing, scope, timeline) early and drive mitigation plans before they escalate.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Anticipate client concerns based on program signals (e.g., slipping milestones, performance issues, resourcing gaps) and act ahead of formal escalation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own issue/escalation management end-to-end — coordinating the right internal teams to resolve problems quickly and communicating transparently with clients throughout.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive continuous improvement in delivery processes, templates, and playbooks based on lessons learned across engagements.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Reporting \u0026amp;amp; Governance:\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Maintain accurate, real-time visibility into program health for internal leadership and client stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prepare and present executive-level dashboards and reviews to both client and internal leadership.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure contractual SLAs, deliverable timelines, and commercial commitments are tracked and met.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree in engineering, Computer Science, or related field; MBA or equivalent is a plus\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience in an IT services, consulting, or AI/ML solutions provider environment (client-delivery model, not just internal product teams)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to LLM/GenAI project delivery specifically (RAG pipelines, fine-tuning, agentic workflows, evaluation frameworks)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;8+ years of experience in technical program/delivery management, with at least 2–3 years specifically managing AI/ML, data science, or data engineering programs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience being the primary client-facing SPOC for enterprise or CXO-level stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong working knowledge of the ML/AI project lifecycle: model training/fine-tuning, LLM-based solution delivery, model evaluation, and MLOps concepts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to manage multiple concurrent, cross-functional programs in a matrixed environment (engineering, practice/technical teams, hiring, operations).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent executive communication and presentation skills; comfortable translating technical detail into business impact for CXO audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with program/delivery tooling (e.g., Jira, Asana, MS Project, Confluence) and reporting/dashboarding tools.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected salary range for this position is $145,000 - $165,000 p/year, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026790009,"name":"ISL - (Project Delivery) - 101","child_ids":[4026801009,4026812009,4026794009,4026795009,4026811009,4026793009,4039161009,4026798009,4026799009,4026808009,4026796009,4026797009,4026800009,4026802009,4026803009,4026791009,4026804009,4026805009,4026806009,4026807009,4026809009,4026792009,4026813009,4026810009],"parent_id":null}],"offices":[{"id":4026799009,"name":"INN - Remote - US","location":null,"child_ids":[],"parent_id":4026797009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null},{"absolute_url":"https://job-boards.greenhouse.io/innodatainc/jobs/4404731009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4234130009,"location":{"name":"Remote - United States"},"metadata":null,"id":4404731009,"updated_at":"2026-09-16T18:02:43-04:00","requisition_id":"119","title":"Technical Training \u0026 Quality Manager","company_name":"Innodata Inc.","first_published":"2026-09-12T16:50:34-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Innodata\u0026amp;nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.\u0026amp;nbsp;Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.\u0026amp;nbsp;We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Scope of the Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for a Technical Training \u0026amp;amp; Quality Manager – AI Data to lead technical training, capability development, quality assurance, and continuous improvement for AI data programs.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The role will work closely with AI/ML, Data Science, Operations, Program Management, and Quality teams to ensure that teams working on data annotation, data preparation, model evaluation, RLHF, LLM training, AI response evaluation, and other AI-data workflows have the required technical capabilities and consistently meet client-defined quality standards.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The ideal candidate should combine strong technical understanding of AI/ML and data workflows with hands-on experience in training, quality management, process improvement, and large-scale operations\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own:\u0026lt;/strong\u0026gt;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Technical Training \u0026amp;amp; Capability Development:\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-style: italic;\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Design and execute technical training programs for AI data and annotation teams.\u0026lt;/em\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-style: italic;\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Develop training curricula, learning paths, assessments, certification programs, and refresher modules.\u0026lt;/em\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-style: italic;\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Train teams on AI/ML concepts, LLMs, Generative AI, NLP, data annotation, data labeling, model evaluation, prompt engineering, RLHF, and AI response quality.\u0026lt;/em\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-style: italic;\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Conduct Train-the-Trainer programs and build internal technical trainers.\u0026lt;/em\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-style: italic;\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Identify skill gaps through assessments, production performance, and quality metrics and create targeted upskilling plans.\u0026lt;/em\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-style: italic;\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Develop practical exercises, technical assessments, simulations, and certification frameworks.\u0026lt;/em\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Quality Management:\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own quality frameworks and standards across AI data projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define and monitor quality KPIs, accuracy, agreement rates, defect rates, audit scores, rework, and productivity.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish quality calibration processes and conduct regular quality audits.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Analyze quality trends and identify root causes of recurring defects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Operations and Program Managers to implement corrective and preventive actions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive continuous improvement initiatives to improve accuracy, consistency, productivity, and turnaround time.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;AI Data \u0026amp;amp; Technical Operations :\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Provide technical guidance for projects involving:\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Data annotation and labeling\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;LLM evaluation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;RLHF / human feedback\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prompt-response evaluation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;NLP and text classification\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Image/video/audio annotation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generative AI evaluation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data validation and enrichment\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Model benchmarking and red teaming\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understand project guidelines, client specifications, annotation taxonomies, and evaluation rubrics and translate them into effective training and quality programs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with SMEs and technical teams to resolve complex quality and interpretation issues.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Stakeholder Management:\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Work closely with clients, Program Managers, Operations, Engineering, Data Science, and QA teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Participate in client calibration sessions and quality reviews.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Present quality dashboards, training effectiveness, RCA findings, and improvement plans to senior leadership.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support new project launches through training needs analysis, SOP development, quality framework creation, and readiness assessments.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Continuous Improvement:\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Identify opportunities to improve training effectiveness, operational quality, and process efficiency.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use data and analytics to measure training ROI and quality improvement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive automation and technology adoption in training and quality processes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Standardize best practices across projects and delivery teams.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You’ll Thrive in This Role If You Have:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8–12 years of experience in AI/ML, data operations, data annotation, AI training, quality management, technical L\u0026amp;amp;D, or related areas.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s/Master\u0026#39;s degree in Computer Science, Engineering, Data Science, AI/ML, Statistics, or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of Artificial Intelligence, Machine Learning, Generative AI and LLMs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with AI data / annotation / model evaluation projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience managing training and quality teams in a high-volume delivery environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong analytical and problem-solving skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with Root Cause Analysis, CAPA, calibration, quality audits and process improvement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong stakeholder and client management skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication, presentation, and facilitation skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to convert complex technical concepts into easy-to-understand training content.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Certifications in AI/ML, Quality Management, Six Sigma, instructional design or technical training are preferred.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with AI platforms, annotation tools, LLM evaluation frameworks, or data-quality platforms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to Python, SQL, analytics/BI tools, or automation would be an advantage.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The expected salary range for this position is $145,000 - $175,000 p/year, based on experience, skills, and qualifications.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://consumer.ftc.gov/articles/job-scams.\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;https://consumer.ftc.gov/articles/job-scams.\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;x_elementToProof\u0026quot;\u0026gt;\u0026lt;em\u0026gt;If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;mailto:verifyjoboffer@innodata.com\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;verifyjoboffer@innodata.com\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;and consider reporting it to the FTC at\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;http://reportfraud.ftc.gov/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;ReportFraud.ftc.gov\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4026790009,"name":"ISL - (Project Delivery) - 101","child_ids":[4026801009,4026812009,4026794009,4026795009,4026811009,4026793009,4039161009,4026798009,4026799009,4026808009,4026796009,4026797009,4026800009,4026802009,4026803009,4026791009,4026804009,4026805009,4026806009,4026807009,4026809009,4026792009,4026813009,4026810009],"parent_id":null}],"offices":[{"id":4026799009,"name":"INN - Remote - US","location":null,"child_ids":[],"parent_id":4026797009}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null}],"meta":{"total":103}}