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Mathematical Physicist PhD - Specialist - AI Trainer

Role overview

Summary

This role focuses on enhancing AI model reasoning through the evaluation of complex physics problems. You will work with Mercor, connecting elite talent with leading AI research labs, to ensure the accuracy and completeness of solutions in alignment with AI outputs.

Qualifications

  • PhD in mathematical physics, theoretical physics, or mathematics.
  • Published work on specific phenomena listed in the research areas.
  • Verifiable publication record with arXiv IDs or DOIs.
  • Proficiency with LaTeX, Python, SymPy, and Jupyter.
  • English at B2 or above for clear written reasoning.

Responsibilities

  • Evaluate research-level physics problems to enhance AI model reasoning.
  • Design and solve complex physics challenges with verifiable solutions.
  • Review and audit completed work for accuracy in alignment with AI model outputs.
  • Collaborate asynchronously to improve AI model performance.

Key facts

Hard skills

Other skills

  • Research
  • Collaboration
  • Problem Solving
  • Time Management

About the company

Mercor logo

Mercor

  • Job Boards & Talent Marketplaces
  • 51–200
Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $2 million a day.

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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

  • 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 completeness in alignment with AI model outputs.
  • Collaborate asynchronously to meet deadlines while improving AI model performance.
  • Utilize LaTeX, Python, SymPy, and Jupyter for symbolic computation tasks.

Qualifications

Must-Have

  • PhD in mathematical physics, theoretical physics, or mathematics.
  • Published work on specific phenomena listed in the research areas.
  • Verifiable publication record with arXiv IDs or DOIs.
  • Proficiency with LaTeX, Python, SymPy, and Jupyter.
  • English at B2 or above for clear written reasoning.

Application Process (Takes 20–30 mins to complete)

  • Apply and complete the attached form with your information and research experience.
  • 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.



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