Music Expert - AI Trainer (Ph.Ds or Postdocs)
Program Overview
Handshake is recruiting exceptional music experts who have completed a degree in Music, Music Theory, or Music Composition to join our AI research community. Music should be part of your every day - whether you're a music professor, composer, producer, or a writer about music. 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 to 20 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 Music, Music Theory, Music Composition or related field of study.
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 is up to $60-75/ hr depending on project and experience
The compensation reflects our commitment to ensuring your contributions are rewarded at a level commensurate with your expertise
How to Apply
1
Submit your resume
2
Record a video cover letter
3
Paid training and certification
4
Start assigned project
