Generative AI Specialist — Remote, Part-time Impact

Innodata Inc.; Oklahoma; On-site; USD 17,047 - 24,280; Part time

Job summary

Innodata Inc. is seeking a Generative AI Specialist to join its on‑demand SME program. This part‑time, remote role offers flexible, project‑based work to fit your schedule.

You will evaluate AI model outputs, label data, generate prompts, and help create training data while following project guidelines. Strong English (C1/C2) and a humanities background are required. The role is global with cross‑team collaboration and short‑cycle projects.

Qualifications

• Strong English proficiency at C1/C2 level.
• Bachelor’s degree in humanities required; advanced degrees preferred.

Responsibilities

• Rate/assess AI model performance based on evaluation questions.
• Label elements of content rather than entire content.
• Assigning predefined categories or labels to items.
• Evaluate perceived quality and/or appropriateness of content.
• Generate labels to advance understanding of a concept or trend.
• Create training data by transforming data (e.g., paraphrasing, summarization).
• Review data to ensure product feature alignment with guidelines.
• Label model outputs to identify content type (e.g., clickbait, branded content).
• Order or rank items based on criteria.
• Create prompts or questions for language model interactions.
• Project evaluation of content relevancy on a scale.
• Generate responses to prompts or questions using models.
• Rewrite text to improve clarity while preserving meaning.
• Produce concise summaries of longer content.
• Convert audio to written text and translate languages.
• Gather and compile data for training/evaluation/fine-tuning.

Skills

English proficiency (C1/C2)

Content labeling & data annotation

Education

Bachelor's degree in humanities

Master's or PhD preferred

Job description

Innodata Inc. is seeking a Generative AI Specialist to join its on‑demand SME program. This part‑time, remote role offers flexible, project‑based work to fit your schedule.

You will evaluate AI model outputs, label data, generate prompts, and help create training data while following project guidelines. Strong English (C1/C2) and a humanities background are required. The role is global with cross‑team collaboration and short‑cycle projects.