Generative AI Specialist — Remote, Part-Time

Innodata Inc.

Nevada (IA)

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 as a global contributor. This part‑time, remote, flexible role is project‑specific and designed for those who want to impact AI initiatives on their own schedule.

You will label, rate, paraphrase, summarize, and transform data to train and evaluate models, contributing to content quality and feature testing.

A humanities degree and advanced English proficiency are preferred.

Qualifications

  • Bachelor's degree in humanities required.
  • Professional proficiency in English (C1/C2).
  • Remote-friendly, part-time project work.

Responsibilities

  • Rating/assessment of AI model performance based on evaluative questions.
  • Labeling elements of content rather than entire items.
  • Assigning predefined categories or labels to items.
  • Evaluating perceived quality and appropriateness of content.
  • Generating labels to advance understanding of concepts or trends.
  • Creating training data via transformations (text, images, audio/video).
  • Reviewing data for feature functionality per guidelines.
  • Labeling model outputs to identify content types (clickbait, branded).
  • Ordering or ranking items by predefined criteria.
  • Creating prompts to generate responses from a language model.
  • Project evaluation of content relevance on a scale.
  • Generating responses to prompts using a language model.

Skills

Content labeling
AI model evaluation
Paraphrasing
Summarization
Text transformation
English proficiency

Education

Bachelor's degree in humanities specialization

Job description

Innodata Inc. is seeking a Generative AI Specialist to join our SME on Demand program as a global contributor. This part‑time, remote, flexible role is project‑specific and designed for those who want to impact AI initiatives on their own schedule.

You will label, rate, paraphrase, summarize, and transform data to train and evaluate models, contributing to content quality and feature testing.

A humanities degree and advanced English proficiency are preferred.

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