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Physics Expert - Fully Remote | Upto $135/hr

Role overview

Qualifications

  • 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

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

Key facts

  • Remote from: Japan
  • Part time
  • Senior (5-10 years)
  • Physicist
  • English

Hard skills

Other skills

  • Research

About the company

Mercor logo

Mercor

  • Job Boards & Talent Marketplaces
  • 51–200
Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $2 million a day.

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Job description

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: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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