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AI & Machine Learning Researcher

Handshake

full-remoteleadcontractdataresearch United States 3 days ago via LinkedIn

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Tags

Machine LearningArtificial IntelligenceNatural Language ProcessingComputer VisionNeural and Evolutionary ComputingRoboticsMultiagent SystemsarXivTraining DataAsynchronous Collaboration

About the role

Role Overview

Handshake is seeking AI & Machine Learning researchers to support AI research through flexible, hourly contract work. You will use your academic and research expertise to evaluate AI-generated responses and provide feedback that helps improve AI understanding of cutting-edge CS and AI/ML research methods.

What You’ll Do

  • Create expert-level training data using your research background
  • Evaluate AI-generated responses for accuracy and relevance
  • Provide detailed feedback to support improved AI performance on CS/AI research topics

Qualifications

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

Scheduling & Logistics

  • Fully remote
  • Flexible, asynchronous schedule with no minimum hours
  • Most active contributors work approximately 5–20 hours/week
  • Placement depends on current project needs; future opportunities may be available

About Handshake

Handshake is offering flexible, project-based AI research work focused on evaluating AI-generated content. The opportunity emphasizes research expertise to create high-quality training data and improve AI systems’ understanding of advanced CS and AI/ML methodologies. This is an ongoing, remote, hourly-contracted collaboration model.

Scraped 6/14/2026

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