Remote Generative AI Specialist - Part-Time, Flexible

Innodata Inc.; North Dakota; On-site; USD 19,286 - 22,041; Part time

Job summary

Innodata Inc. is seeking a Generative AI Specialist to join its SME on Demand community on a part-time, remote basis. This project-based role focuses on evaluating AI outputs, labeling data, and generating training materials to advance AI model quality.

The position offers flexible scheduling and an hourly pay model, ideal for individuals seeking impactful, schedule-friendly work within a global contributor network.

Qualifications

• Bachelor’s degree in humanities; advanced degrees preferred.
• Professional English proficiency (C1/C2).

Responsibilities

• Rating/assessing AI model performance against evaluative questions.
• Labeling elements of a content item rather than whole content.
• Assigning predefined categories or labels to items.
• Evaluating content quality and appropriateness.
• Generating labels to advance understanding of concepts or trends.
• Creating training data via transformations (text, image, audio/video).
• Reviewing data for feature correctness against guidelines.
• Labeling model outputs for content type (e.g., clickbait, branded content).
• Ordering or ranking items based on criteria.
• Creating prompts to elicit responses from language models.
• Project evaluation of content relevance (1–5 scale).
• Generating responses to prompts from a language model.
• Rewriting text to improve clarity and adherence to guidelines.
• Producing concise summaries of longer texts or data.
• Transcribing spoken language to written text.
• Translating text or speech between languages.
• Gathering data for training/evaluation/fine-tuning.

Skills

English proficiency

Communication skills

Education

Bachelor’s degree in humanities

Job description

Innodata Inc. is seeking a Generative AI Specialist to join its SME on Demand community on a part-time, remote basis. This project-based role focuses on evaluating AI outputs, labeling data, and generating training materials to advance AI model quality.

The position offers flexible scheduling and an hourly pay model, ideal for individuals seeking impactful, schedule-friendly work within a global contributor network.