Physics PhD (Top 50 Program, US/UK/CA)
Obsidian · Remote
- Pay
- $70–180/hr
- Commitment
- hourly
- Hours / week
- ~40
- Source
- mercor
About this role
**Role Overview** Mercor is collaborating with a leading AI research group to engage experts with advanced training in physics. **PhD graduates in Physics from a US/UK/CA top 50 pure physics program** are encouraged to participate. This cutting-edge project focuses on strengthening AI systems’ reasoning capabilities through rigorous problem-solving and theorem-based evaluation. You will be applying graduate-level expertise to assess and validate complex mathematical reasoning. **Key Responsibilities** - Solve and evaluate challenging physics problems across a range of subfields - Review AI-generated proofs, derivations, and solutions for correctness, rigor, and clarity - Identify gaps, inconsistencies, or unsupported reasoning in model outputs - Apply relevant citations, principles, and formal reasoning where appropriate **Ideal Qualifications** - PhD in Physics from a top 50 physics program in the United States, United Kingdom, or Canada - Degree must be in Physics rather than applied physics, engineering, or a closely related applied discipline - Strong graduate-level problem-solving ability across advanced physics topics - Ability to clearly articulate reasoning, reference relevant theorems or principles, and identify gaps in written solutions - Ideally active in research or academia - Able to commit approximately 15 hours per week - Able to complete assigned tasks in a single sitting within 24 hours when work is available - Available to begin immediately **More About the Opportunity** - Work is project-based and delivered in batches - There may be periods when no work is available - Contributors should be comfortable with variable task volume depending on project needs **Application Process** - Submit your resume and complete an interview to get started (if we do not have one already on file) - Qualified applicants will receive follow-up within a few days with next steps
Skills & domains
- ai-training
- rlhf
- sme
- annotation
- Life, Physical, and Social Science
