AI/ML Research Contractor - Evaluating AI-Generated Content for Training Data

handshake • United State
Remote
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AI Summary

Handshake is seeking PhD-level computer science and AI/ML researchers for flexible, hourly contract work. You will evaluate AI-generated responses for accuracy and relevance, using your expertise to create expert-level training data. This remote, asynchronous role requires strong written communication and independent work skills.

Key Highlights
Fully remote with flexible, asynchronous schedule and no minimum hour requirement
PhD in Computer Science, ML, AI, or related field from a top 100 US university required
Research background in areas like Machine Learning, Computer Vision, NLP, or Robotics
Key Responsibilities
Use research expertise and academic knowledge to create expert-level training data
Evaluate AI-generated responses for accuracy and relevance
Technical Skills Required
Machine Learning Artificial Intelligence Computer Vision Natural Language Processing Neural and Evolutionary Computing Robotics Systems and Control Multiagent Systems arxiv.org
Benefits & Perks
Fully remote work
Flexible asynchronous schedule
No minimum hour requirement

Job Description


Opportunity Overview

Handshake is looking for computer science and AI/ML researchers to support AI research through flexible, hourly contract work. This is not a traditional job. You'll draw on your deep expertise in machine learning, artificial intelligence, and computer science research to evaluate AI-generated content and provide feedback that helps AI better understand cutting-edge CS and AI/ML research and methodology.

This is an ongoing, project-based opportunity you can take on alongside anything else you have going on.

What You'll Do

  • This project involves using your research expertise and academic knowledge to create expert-level training data and evaluate AI-generated responses for accuracy and relevance. No prior AI experience required.
  • Fully remote with a flexible, asynchronous schedule and no minimum hour requirement; most contributors work approximately 5–20 hours per week when participating in an active project.
  • Placement depends on current project needs, with opportunities to be considered for future projects as they become available.

Qualifications

  • PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field from a top 100 US university
  • Research background in areas such as:
    • Machine Learning or Artificial Intelligence
    • Computer Vision, Natural Language Processing, or Neural and Evolutionary Computing
    • Robotics, Systems and Control, or Multiagent Systems
  • Familiarity with arxiv.org, particularly the Computing Research Repository (cs)
  • Strong written communication skills, attention to detail, and the ability to work independently and asynchronously with AI research teams.

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