[Hiring] High Energy Physics PhD Expert - AI Trainer @Mercor

Role Description

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: High Energy 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 specialists.
• Review and audit completed work for accuracy and adherence to domain principles.
• Collaborate independently and asynchronously to meet deadlines and improve AI model performance.
• Utilize LaTeX, Python, SymPy, and Jupyter for problem-solving and documentation.

Qualifications

• PhD in high energy theory, nuclear theory, or a closely related field.
• Published work on specific phenomena, not adjacent ones.
• Loop-calculation experience for quasi-PDF areas.
• 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.

Requirements

• Application Process (Takes 20–30 mins to complete)
• Apply and complete the attached form.
• We verify your papers and authorship.
• Onboard directly or attend 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: Interview Process
• For any help or support, reach out to: [email protected]
• Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.