Remote PhD Math Problem Designer for AI Benchmarks

turing; San Francisco (CA); Hybrid; USD 138,000 - 193,000; Full time

Benefits offered by this job

Fully remote

Flexible hours

Job summary

Turing, based in San Francisco, offers a fully remote contract for PhDs in Mathematics or Statistics to work on cutting-edge AI benchmarks. You will design advanced math problems, craft rigorous solutions, and assess AI outputs while collaborating with researchers across topics from undergrad to PhD level.

The role requires a PhD (or in progress), excellent mathematical reasoning, and clear written feedback. No prior AI experience is required, and weekly hours are flexible.

Qualifications

• PhD (pursuing or completed) in Mathematics, Applied Math, Statistics, or related field.
• Strong mathematical reasoning and problem-solving across advanced domains.
• Clear writing and ability to provide structured feedback.

Responsibilities

• Design advanced math problems to test AI performance.
• Develop clear, step-by-step solutions with rigorous reasoning.
• Evaluate AI outputs for accuracy and quality of reasoning.
• Collaborate with researchers to refine benchmarks across undergraduate to PhD-level math topics.

Skills

Mathematical reasoning

Analytical skills

Clear written communication

Problem design

Education

PhD in Mathematics/Applied Math/Statistics

Job description

Turing, based in San Francisco, offers a fully remote contract for PhDs in Mathematics or Statistics to work on cutting-edge AI benchmarks. You will design advanced math problems, craft rigorous solutions, and assess AI outputs while collaborating with researchers across topics from undergrad to PhD level.

The role requires a PhD (or in progress), excellent mathematical reasoning, and clear written feedback. No prior AI experience is required, and weekly hours are flexible.