Senior Mathematics Research Expert - Remote

Zekai

United States

Remote

USD 150,000 - 190,000

Full time

7 days ago
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Job summary

Zekai is seeking senior mathematicians to improve how frontier AI models reason about real mathematical research. Your mathematical judgment will define problem specs, reference solutions, proofs, and benchmarks that reveal genuine progress.

This is a fully remote contract role based in the United States. Applicants should hold a PhD and a strong publication record, with hands-on experience using large language models to evaluate mathematical reasoning.

Qualifications

  • PhD in mathematics or closely related field.
  • Senior appointment at a university, national lab, or research organization.
  • Deep domain expertise in analysis, algebra, geometry, probability, or applied mathematics.
  • Strong peer‑reviewed publication record; awards are a plus.
  • AI fluency in practical model work and sound judgment.
  • Excellent written communication and ability to give precise feedback.
  • Location: United States.

Responsibilities

  • Expert review: assess mathematical tasks and model outputs, identifying gaps in proofs and unjustified steps.
  • Problem specs and reference solutions: write precise problem statements and rigorous solutions that reflect research mathematics.
  • Benchmarks: design challenging, research-level problems and evaluation sets in your area of specialization.
  • Calibration: work with researchers to turn tacit judgment into explicit, teachable criteria.

Skills

AI fluency
Communication
Research track record

Education

PhD in mathematics or closely related field

Job description

Zekai is seeking senior mathematicians to improve how frontier AI models reason about real mathematical research. Your mathematical judgment will define problem specs, reference solutions, proofs, and benchmarks that reveal genuine progress.

This is a fully remote contract role based in the United States. Applicants should hold a PhD and a strong publication record, with hands-on experience using large language models to evaluate mathematical reasoning.

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