Mathematics PhD (Graduate or Candidate, Top 30 Program)
This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Mercor is collaborating with a leading AI research group to engage experts with advanced training in mathematics. 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. Solve and evaluate challenging mathematics problems across diverse fields Review AI-generated proofs and solutions for correctness and rigor Provide structured feedback to improve mathematical reasoning models Qualifications Recent PhD in Mathematics (within past 4 years) OR PhD candidate ≥3 years into program (typically ≥4th year from undergrad entry, or ≥3rd year with master’s entry) Enrolled in or graduated from a top 30 mathematics program Ideally active in research/academia Strong background in advanced problem-solving, with ability to clearly articulate reasoning, reference theorems, and identify gaps in writing Benefits Remote and asynchronous — set your own schedule Flexible, project-based engagements 5-6 week engagement with potential for additional opportunities Compensation & Contract Terms Competitive hourly compensation, commensurate with your background & experience Independent contractor arrangement Payments processed weekly via Stripe Connect 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 Company Description Mercor is a talent marketplace connecting top experts with leading AI labs and research organizations Backed by Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey Thousands of professionals across domains such as law, engineering, research, and creative services contract with Mercor to contribute to frontier AI projects