Physics Expert - Fully Remote | Upto $135/hr
About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .
Position: Research Physics Expert
Type: Contract
Compensation: $80–$135/hour
Location: Remote
Commitment: ~10 hours/week
Role Responsibilities
- Solve research-level physics challenges end-to-end with verifiable derivations, code, and peer-reviewed references.
- Decompose challenges into standalone checkpoint sub-problems requiring genuine physical reasoning.
- Author Python answer templates with auto-grading functions for symbolic or numerical answers.
- Audit submitted solutions for correctness, scope, and method soundness; deliver actionable feedback across iterations.
- Adjudicate between parallel solver attempts and decide which solution becomes the golden reference.
- Document chain-of-thought reasoning, error tolerances, equivalent symbolic forms, and verification test cases.
Qualifications
Must-Have
- PhD or postdoc in the relevant subfield (senior PhD student minimum).
- Postdoc or junior professor in the relevant subfield ( PhD minimum).
- Full professor or industry research PI in the relevant subfield (senior postdoc or junior professor minimum).
- Hands-on familiarity with at least two canonical methods of the target subfield, demonstrable through publications.
- 3–5 representative publications (arXiv ID or DOI), ideally within the last ~5 years and in the target subfield.
- Working proficiency with LaTeX , Python , Jupyter , and SymPy .
- Strong written English ( B2/C1/C2 minimum; native or near-native preferred).
Resources & Support
- For details about the interview process and platform information, please check:
- For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas
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