Theoretical Physicist - Fully Remote | Up To $110/Hr

Mercor; San Francisco (CA); Hybrid; GBP 83,000 - 115,000; Full time

Job summary

Mercor connects elite creative and technical talent with leading AI research labs. This remote contract role seeks a PhD in mathematical physics to develop and audit high-level physics problems, using Python, SymPy, and Jupyter. Expect independent, asynchronous work to support AI research in physics, 8–10 weeks, 10 hours/week.

Qualifications

• PhD in mathematical physics, theoretical physics, or mathematics.
• Verifiable publication record with three to five representative papers.
• Working proficiency with LaTeX, Python, SymPy, and Jupyter.
• English at B2 or above, including written reasoning.

Responsibilities

• Develop and solve research-level physics problems in your subfield. Ensure solutions are complete for independent verification.
• Review and audit completed work, maintaining high standards of written reasoning akin to mathematics.
• Collaborate with peers to create problems and evaluate AI model performance in physics research reasoning.
• Utilize Python, SymPy, and Jupyter for symbolic computation. Familiarity with an agentic coding extension in VS Code is useful.
• Work independently and asynchronously to meet deadlines and improve AI model performance.

Skills

English proficiency

Education

PhD in mathematical physics, theoretical physics, or mathematics

Tools

Python

SymPy

Jupyter

LaTeX

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: Mathematical Physicist (PhD)
Type: Contract
Compensation: $80-$110/hour
Location: Remote
Duration: 8 to 10 weeks
Commitment: 10 hours/week

Role Responsibilities

• Develop and solve research-level physics problems in your subfield. Ensure solutions are complete for independent verification.
• Review and audit completed work, maintaining high standards of written reasoning akin to mathematics.
• Collaborate with peers to create problems and evaluate AI model performance in physics research reasoning.
• Utilize Python, SymPy, and Jupyter for symbolic computation. Familiarity with an agentic coding extension in VS Code is useful.
• Work independently and asynchronously to meet deadlines and improve AI model performance.

Qualifications

Must-Have

• PhD in mathematical physics, theoretical physics, or mathematics.
• Published work on specific phenomena in your subfield.
• Verifiable publication record with three to five representative papers.
• Working proficiency with LaTeX, Python, SymPy, and Jupyter.
• English at B2 or above, including written reasoning.