Material Science Experts - AI Trainer

Program Overview
Handshake is recruiting exceptional doctoral students, candidates, and graduates in Material Science to join our AI research community. This program brings subject-matter experts together to enhance the capabilities of Large Language Models (LLMs) within specialized domains and subdomains. The MOVE program runs year-round, though project availability will vary by domain.
MOVE Program Benefits

• Put AI to the test with real-world expertise and evaluate where they excel or fail.
• Get paid for your expertise while contributing to AI research.
• Join a community of master’s, PhDs and AI researchers from top universities.

Program Details

• This is a fully remote, asynchronous position - work independently from anywhere, on your own schedule.
• Learn new skills while contributing to the changing world of AI across various disciplines.
• Get paid competitively to apply your domain expertise in material science or engineering.
• Project work includes designing and solving advanced material science problems that require multi-step reasoning, and testing them with AI models to ensure they are appropriately challenging.

Who Should Apply

• PhD students, postdocs, or recent PhDs in materials science with experience in polymers, metals and ceramics, energy materials, or nanomaterials.
• Able to participate in primarily asynchronous work in partnership with leading AI labs.
• Believe your expertise can outmatch current AI systems in understanding and explaining key concepts in your field.

This program is open to U.S.-based doctoral students, candidates, and recent graduates with valid work or training authorization (e.g., F-1/OPT, J-1, H-1B). Participants are responsible for ensuring compliance with their visa conditions and confirming eligibility with their program or visa sponsor prior to applying.
Compensation

• Compensation is $75/hr
• The compensation reflects our commitment to ensuring your contributions are rewarded at a level commensurate with your expertise