Generative AI Associate
Listed on 2026-07-03
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IT/Tech
AI Evaluation, Data Annotation/ AI Labeling
Generative AI Associate – Flexible Hours
Remote – New Hampshire
Innodata (Nasdaq: INOD) is a global data engineering company that enables responsible advancement of AI through data, evaluation frameworks, and human expertise.
Scope of the RoleWe are partnering with leading technology companies to build the future of generative AI and large language models (LLMs). The role is part-time, remote, flexible, and project-based. Ideally suited for writers, linguists, educators, researchers, or language and logic enthusiasts who want to shape AI development on their own schedule.
What You’ll Own- Rate/assess AI model performance based on output or behavior.
- Label elements of content and assign predefined categories or labels.
- Evaluate perceived quality and appropriateness of content.
- Generate labels to enhance conceptual understanding.
- Create additional training data via transformations (e.g., image rotation, paraphrasing, audio speed changes).
- Review data and confirm product features work per guidelines.
- Label model outputs for specific identification tasks (clickbait, gaming videos, branded content).
- Order or rank items by preferences or criteria.
- Create prompts or questions for language models or other AI systems.
- Evaluate content relevance on a scale (1‑5, etc.).
- Generate responses to prompts using an AI system.
- Rewrite text while preserving meaning for clarity, style, or guideline adherence.
- Produce concise summaries of longer content.
- Transcribe spoken language or audio into written text.
- Translate text or spoken language between languages.
- Gather various digital content types for training, evaluating, or fine‑tuning AI models.
- A bachelor’s degree or higher in a humanities specialization (advanced degrees preferred).
- Professional or expert level proficiency (C1/C2) in English.
Expected hourly salary: $15 per hour, based on experience, skills, and qualifications.
We will never ask for payment, banking details, or sensitive personal information during the application process. To learn how to recognize job scams, visit (Use the "Apply for this Job" box below)..
We are an equal‑employment opportunity employer and do not discriminate on the basis of protected class. You may contact us at for inquiries.
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