Statistical Physics PhD - Researcher - AI Trainer

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.

Application Process (Takes 20–30 mins to complete)

• Apply and complete the attached form with your information and research experience.
• We verify your papers and authorship against the public record.
• Onboard directly or participate in a short live alignment call.
• A brief 30 to 45 minute assessment may be added if needed.

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.