Program Overview
Handshake is recruiting exceptional master's graduates with a focus in finance 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.
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
Must be working in finance - CFAs, investment analysts or similar backgrounds
Must have a Master's degree
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 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 $50-75 / hr depending on the project
The compensation reflects our commitment to ensuring your contributions are rewarded at a level commensurate with your expertise
How to Apply
1
Submit your application below
2
Take part in a short interview
3
Paid training and certification
4
Start assigned project
