Remote Generative AI Evaluator & Content Labeler (Part-Time)

Innodata

United States

Hybrid

USD 17,000 - 24,000

Part time

14 days+

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Job summary

Innodata seeks a Generative AI Specialist to join its global SME on Demand network. This part-time, remote role lets writers, linguists, educators, researchers contribute to cutting-edge AI development on a flexible schedule.

You will help LLMs learn language and reasoning, shaping tomorrow's AI from anywhere in the world on your own terms. This is not a traditional full-time position.

Qualifications

  • Bachelors in humanities required; advanced degrees preferred.
  • Expert level English proficiency (C1/C2).

Responsibilities

  • Assess AI model or algorithm performance using predefined questions.
  • Label content elements rather than whole items.
  • Assign predefined categories or labels to items.
  • Evaluate content quality and appropriateness per guidelines.
  • Generate labels to aid understanding of concepts or trends.
  • Create additional training data via data transformations.
  • Review data for feature/function alignment with project guidelines.
  • Label model outputs to identify content type (e.g., clickbait).
  • Rank items based on defined criteria.
  • Develop prompts for language models or AI systems.
  • Evaluate relevancy on a scale (1-3/1-5, etc.).
  • Generate model responses to prompts.
  • Rewrite text preserving meaning and style per guidelines.
  • Produce concise summaries of longer texts or data.
  • Transcribe audio to written text.
  • Translate text or speech between languages.
  • Gather diverse data types for training, evaluation or fine-tuning.

Skills

English proficiency (C1/C2)

Education

Bachelor's degree in humanities
Master's or PhD preferred

Job description

Innodata seeks a Generative AI Specialist to join its global SME on Demand network. This part-time, remote role lets writers, linguists, educators, researchers contribute to cutting-edge AI development on a flexible schedule.

You will help LLMs learn language and reasoning, shaping tomorrow's AI from anywhere in the world on your own terms. This is not a traditional full-time position.

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