Remote Generative AI Specialist (Part-Time)

Innodata Inc.; Nevada (IA); Hybrid; USD 17,908 - 23,419; Part time

Job summary

Innodata Inc. is seeking a Generative AI Associate to support our SME on Demand program on a part-time, remote basis. You will contribute to cutting-edge AI development with flexible hours and a focus on language and reasoning.

This role is ideal for those seeking meaningful impact while maintaining autonomy over their time. You’ll work on evaluating model outputs, labeling data, creating prompts, and generating training data to help shape the future of generative AI.

Qualifications

• Bachelor’s degree in humanities required; advanced degrees strongly preferred (Master’s or PhD).
• Professional level English (C1/C2) required.

Responsibilities

• Assess AI models or algorithms using evaluative questions.
• Label content at a granular level rather than whole pieces of content.
• Assign predefined categories or labels to items.
• Evaluate quality and appropriateness of content.
• Generate labels to advance understanding of concepts or trends.
• Create additional training data via transformations (text paraphrasing, summarization, image edits).
• Review data to ensure features meet project guidelines.
• Label model outputs to identify content type (e.g., clickbait, branded content).
• Rank items by relevance according to criteria.
• Create prompts to elicit responses from language models.
• Generate responses to prompts using AI systems.
• Rewrite existing text to improve clarity while preserving meaning.
• Produce concise summaries of longer text or data.
• Convert spoken language to written text; translate between languages.
• Gather and compile data for training or evaluation.

Skills

English proficiency (C1/C2)

Education

Bachelor’s degree in humanities

Master’s or PhD preferred

Job description

Innodata Inc. is seeking a Generative AI Associate to support our SME on Demand program on a part-time, remote basis. You will contribute to cutting-edge AI development with flexible hours and a focus on language and reasoning.

This role is ideal for those seeking meaningful impact while maintaining autonomy over their time. You’ll work on evaluating model outputs, labeling data, creating prompts, and generating training data to help shape the future of generative AI.