Generative AI Specialist - Remote, Flexible, Data Labeling

Innodata Inc.

Kansas

On-site

USD 17,908 - 23,419

Part time

14 days+

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Job summary

Innodata Inc. is seeking a Generative AI Specialist to join our SME on Demand program. This part-time, remote role focuses on rating AI model performance, labeling data, and generating training content for cutting-edge models. Flexible scheduling suits researchers and professionals seeking project-based work.

You will work with industry partners to assess content quality, create prompts, and help categorize data while maintaining strict guidelines and high accuracy.

Qualifications

  • Bachelor's degree in humanities required.
  • Advanced degrees (master's or PhD) are strongly preferred.
  • Professional English proficiency (C1/C2) required.

Responsibilities

  • Rate/assess AI model performance using evaluative questions.
  • Label elements of content rather than entire items.
  • Assign predefined categories or labels to data points.
  • Evaluate perceived quality and appropriateness of content.
  • Generate labels to advance understanding of concepts or trends.
  • Create training data by transforming data (e.g., paraphrasing, summarization).
  • Review data against project guidelines to ensure quality.
  • Label model outputs to identify content type (e.g., clickbait).
  • Rank items based on defined criteria.
  • Create prompts for language models to generate responses.
  • Evaluate content relevance on a scoring scale.

Skills

English proficiency (C1/C2)
Content labeling

Education

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

Job description

Innodata Inc. is seeking a Generative AI Specialist to join our SME on Demand program. This part-time, remote role focuses on rating AI model performance, labeling data, and generating training content for cutting-edge models. Flexible scheduling suits researchers and professionals seeking project-based work.

You will work with industry partners to assess content quality, create prompts, and help categorize data while maintaining strict guidelines and high accuracy.

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