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.

Placement depends on current project needs, with opportunities to be considered for future projects as they become available.

• 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.

• 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.

Work arrangement: Fully remote

• F-1 students who are eligible for CPT or OPT may be eligible for projects on Handshake AI. Work with your Designated School Official to determine your eligibility.  If your school requires a CPT course, Handshake AI may not meet your school’s requirements. STEM OPT is not supported. See our Help Center article for more information on what types of work authorizations are supported on Handshake AI.

• Depending on the project.