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Materials Science Expert

Posted on Sept. 24, 2025

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

Materials Science Expert

Tailor Your Resume for this Job


Up to $80/hr
Depending on the project
Ph.Ds or Postdocs
Remote
Part-time
Flexible hours
OPT/CPT Eligible
Overview
Handshake is recruiting exceptional doctoral students, candidates, and graduates in Materials Science 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.
Details
  • This is a fully remote, asynchronous position - work independently from anywhere, on your own schedule.
  • Learn new skills while contributing to the changing world of AI across various disciplines.
  • Get paid competitively to apply your domain expertise in material science or engineering.
  • Project work includes designing and solving advanced material science problems that require multi-step reasoning, and testing them with AI models to ensure they are appropriately challenging.
Qualifications
  • PhD students, postdocs, or recent PhDs in materials science with experience in polymers, metals and ceramics, energy materials, or nanomaterials.
  • 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.

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

Tailor Your Resume for this Job


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