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

Mercor; San Francisco (CA); Hybrid; GBP 82,000 - 113,000; Part time

Job summary

Mercor is seeking a PhD-level Statistical Physics and Thermodynamics Physicist for a remote contract role. The project runs 8 to 10 weeks with an 10-hour per week commitment, focusing on AI model reasoning and verification of physics-based solutions.

The ideal candidate holds a PhD in statistical or mathematical physics, has 3–5 representative publications, and is proficient in LaTeX, Python, SymPy, and Jupyter. English at least a B2 level is required.

Qualifications

• PhD in statistical physics, mathematical physics or closely related field.
• Verifiable publication record with three to five representative papers.
• Proficiency with LaTeX, Python, SymPy, and Jupyter.
• English at B2 or above, including written reasoning.

Responsibilities

• Evaluate research-level physics problems in your subfield to enhance AI model reasoning.
• Design and solve complex physics challenges, ensuring solutions are peer-verifiable.
• Review completed work and provide structured feedback to improve AI model outputs.
• Collaborate with AI research teams to align on problem-solving methodologies.
• Work independently and asynchronously to meet deadlines with flexible hours.

Skills

English (B2)

Education

PhD in statistical physics / mathematical physics

3–5 representative papers

Tools

LaTeX

Python

SymPy

Jupyter

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: Statistical Physics and Thermodynamics Physicist (PhD)
Type: Contract
Compensation: $80–$110/hour
Location: Remote
Duration: 8 to 10 weeks
Commitment: 10 hours/week

Role Responsibilities

• Evaluate research-level physics problems in your subfield to enhance AI model reasoning.
• Design and solve complex physics challenges, ensuring solutions are verifiable by peers.
• Review completed work and provide structured feedback to improve AI model outputs.
• Collaborate with AI research teams to align on problem-solving methodologies.
• Work independently and asynchronously to meet deadlines with flexible hours.

Qualifications

Must-Have

• PhD in statistical physics, mathematical physics or a closely related field.
• Published work on specific phenomena listed in the research areas.
• Verifiable publication record with three to five representative papers.
• Proficiency with LaTeX, Python, SymPy, and Jupyter.
• English at B2 or above, including written reasoning.

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