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Music Expert

Posted on Sept. 24, 2025

  • Remote, United States of America
  • No Salary information.
  • Part Time

Music Expert

Tailor Your Resume for this Job


Up to $88/hr
Depending on the project
Master's
Remote
Part-time
Flexible hours
OPT/CPT Eligible
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.
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.
Qualifications
  • Master's students and graduates 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.

The application process
1
Apply and pass a practice task
2
Get matched with a project
3
Challenge & improve AI models
4
Build with fellows and specialists

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