Remote Generative AI Labeling Specialist

Innodata Inc.; Kentucky; On-site; USD 16,531 - 24,796; Part time

Job summary

Innodata Inc. seeks a Generative AI Specialist to join a global SME on Demand program. This part-time, remote role offers flexible, project-based opportunities for those seeking schedule control and real impact.

You will help rate AI model performance, label data, generate training content, translate and summarize, and create prompts for ML systems. Strong English and humanities degree are required with advanced degrees preferred.

Qualifications

• Bachelor's degree or higher in humanities required.
• Professional English at C1/C2 level required.

Responsibilities

• Rate and assess AI model performance using evaluative questions.
• Label elements of content rather than whole items.
• Assign predefined categories or labels to items.
• Evaluate perceived quality or appropriateness of content.
• Generate labels to advance understanding of a concept or trend.
• Create training data by transforming data (text paraphrasing, summarization, etc.).
• Review data to ensure features work as intended per guidelines.
• Label model outputs to identify content type (e.g., clickbait).
• Rank items based on criteria.
• Create prompts for language model responses.
• Project evaluate content relevance on a scale.
• Generate responses to prompts using a language model.
• Rewrite existing text to improve clarity and adhere to guidelines.
• Produce concise summaries of longer text or data.
• Convert spoken language to written text.
• Translate text or speech between languages.
• Gather and compile data for training/evaluation/finetuning.

Skills

English proficiency C1/C2

Education

Bachelor's degree in humanities

Master's or PhD preferred

Job description

Innodata Inc. seeks a Generative AI Specialist to join a global SME on Demand program. This part-time, remote role offers flexible, project-based opportunities for those seeking schedule control and real impact.

You will help rate AI model performance, label data, generate training content, translate and summarize, and create prompts for ML systems. Strong English and humanities degree are required with advanced degrees preferred.