Mercor
Physics PhD (Top 30 Program, US/UK/CA)
Mercor, San Francisco, California, United States, 94199
Role Overview
Mercor is collaborating with a leading AI research group to engage experts with advanced training in physics.
PhD graduates in Physics from a US/UK/CA top 30 pure physics program
are encouraged to participate. This cutting‑edge project focuses on strengthening AI systems’ reasoning capabilities through rigorous problem‑solving and theorem‑based evaluation. You will be applying graduate‑level expertise to assess and validate complex mathematical reasoning.
Key Responsibilities
Solve and evaluate challenging physics problems across diverse fields
Review AI‑generated proofs and solutions for correctness and rigor
Provide structured feedback to improve mathematical reasoning models
Ideal Qualifications
PhD in Physics (not applied physics or engineering)
Graduated from a top 30 physics program in the US, UK, or Canada
Ideally active in research/academia
Strong background in advanced problem‑solving, with ability to clearly articulate reasoning, reference theorems, and identify gaps in writing
More About The Opportunity
Remote and asynchronous — set your own schedule
Flexible, project‑based engagements
5‑6 week engagement with potential for additional opportunities
Compensation & Contract Terms
Competitive hourly compensation, commensurate with your background & experience
Independent contractor arrangement
Payments processed weekly via Stripe Connect
Application Process
Submit your resume and complete an interview to get started (if we do not have one already on file)
Qualified applicants will receive follow‑up within a few days with next steps
About Mercor
Mercor is a talent marketplace connecting top experts with leading AI labs and research organizations
Backed by Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey
Thousands of professionals across domains such as law, engineering, research, and creative services contract with Mercor to contribute to frontier AI projects
Seniority level Not Applicable
Employment type Full‑time
Job function Research, Analyst, and Information Technology
Industries Software Development
#J-18808-Ljbffr
PhD graduates in Physics from a US/UK/CA top 30 pure physics program
are encouraged to participate. This cutting‑edge project focuses on strengthening AI systems’ reasoning capabilities through rigorous problem‑solving and theorem‑based evaluation. You will be applying graduate‑level expertise to assess and validate complex mathematical reasoning.
Key Responsibilities
Solve and evaluate challenging physics problems across diverse fields
Review AI‑generated proofs and solutions for correctness and rigor
Provide structured feedback to improve mathematical reasoning models
Ideal Qualifications
PhD in Physics (not applied physics or engineering)
Graduated from a top 30 physics program in the US, UK, or Canada
Ideally active in research/academia
Strong background in advanced problem‑solving, with ability to clearly articulate reasoning, reference theorems, and identify gaps in writing
More About The Opportunity
Remote and asynchronous — set your own schedule
Flexible, project‑based engagements
5‑6 week engagement with potential for additional opportunities
Compensation & Contract Terms
Competitive hourly compensation, commensurate with your background & experience
Independent contractor arrangement
Payments processed weekly via Stripe Connect
Application Process
Submit your resume and complete an interview to get started (if we do not have one already on file)
Qualified applicants will receive follow‑up within a few days with next steps
About Mercor
Mercor is a talent marketplace connecting top experts with leading AI labs and research organizations
Backed by Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey
Thousands of professionals across domains such as law, engineering, research, and creative services contract with Mercor to contribute to frontier AI projects
Seniority level Not Applicable
Employment type Full‑time
Job function Research, Analyst, and Information Technology
Industries Software Development
#J-18808-Ljbffr