Program Overview
Handshake is recruiting exceptional Machine Learning doctoral graduates and post-docs 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 program runs year-round. Once part of the MOVE program, you will be matched to collaborative projects with labs based on your background and area of expertise.
Project work includes developing and answering Machine Learning prompts and evaluating responses from Large Language Models for accuracy.
The position is remote and asynchronous - work independently from wherever you are.
Flexible hours, ranging from 10 to 15 hours per week.
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 graduates (including those in postdoctoral positions) in machine learning
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 on average $90-$160/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
