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
Key Responsibilities
Technical Skills Required
Benefits & Perks
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.
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- 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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