Math PhD - Expert Trainer

Remote Full-time
Program Overview

Handshake is recruiting exceptional masters and doctoral students, candidates, and graduates in Math 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
• The position is remote and asynchronous - work independently from wherever you are.
• Flexible hours and the ability to work remotely, with a commitment of approximately 10+ hours per week.
• Project work includes and is not limited to developing domain-specific prompts and evaluating LLM responses.
• Dedicate time researching topics that are interesting to you, with the assistance of AI.
• Learn new skills while contributing to the changing world of AI across various disciplines.
• Placement into a project will be dependent on project availability.

Who Should Apply
• Doctoral students and graduates (including those currently enrolled or in postdoctoral positions) in Math
• 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 master's and 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 ranges from $75 - $100 / hr depending on the project
• The compensation reflects our commitment to ensuring your contributions are rewarded at a level commensurate with your expertise.

Apply Now
Apply Now

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