Generative AI Associate

2 weeks, 6 days ago
Part-time
Entry Level
Data Science and Analytics
Innodata

Innodata

Innodata Inc. is a global leader in data engineering, offering end-to-end AI solutions and platforms for businesses worldwide, combining AI and human expertise to solve complex data challenges.

IT Services
1K-5K
Founded 1988

Description

  • Rate and assess AI model performance using evaluative questions and output behavior.
  • Label content elements, assign predefined categories, and determine whether content matches specified criteria.
  • Evaluate the quality, appropriateness, and relevance of content using project guidelines and rating scales.
  • Generate labels to support understanding of concepts, trends, and model outputs.
  • Create training data for machine learning models by transforming and augmenting original data.
  • Review data to determine whether product features work as intended.
  • Create prompts and questions used to generate responses from language models or other AI systems.
  • Generate, rewrite, summarize, transcribe, and translate text or spoken content as needed.
  • Gather and compile text, images, video, audio, and other digital content for model training, evaluation, or fine-tuning.

Requirements

  • Bachelor’s degree or higher in a humanities specialization is required.
  • Master’s degree or PhD is strongly preferred.
  • Professional or expert-level English proficiency (C1/C2) is required.
  • Ability to work on a part-time, remote, flexible, project-specific basis.
  • Interest in language, logic, writing, linguistics, education, or research is preferred.
  • Experience contributing to AI, LLM, data labeling, or evaluation work is beneficial.
  • Expected hourly pay is $15 per hour, based on experience, skills, and qualifications.

Benefits

  • Part-time, remote, and flexible work arrangement.
  • Project-specific assignments that can be done on your own schedule.
  • Opportunity to contribute to cutting-edge generative AI and LLM development.
  • Work from anywhere in the world.
  • Hourly pay of $15 per hour, based on experience, skills, and qualifications.

Interested in this position?

Apply directly on the company website

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