Remote Olympiad Math Expert for AI Problem Design

Weekday AI

United States

À distance

USD 74 000 - 128 000

Plein temps

14 jours+
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Résumé du poste

Weekday AI is seeking experts in Olympiad mathematics to design and evaluate advanced problems that push AI systems’ reasoning capabilities. You will create original Olympiad-style questions, assess AI solutions for rigor and coherence, and craft comprehensive reference solutions to set benchmark standards.

This fully remote, independent contractor role offers flexible hours and pay-per-task compensation based on problem difficulty, solution quality, and overall efficiency.

Qualifications

  • Demonstrated expertise in Olympiad-level mathematics.
  • Experience as a mathematics competition participant, medalist, problem setter, selection committee member, coach, or equivalent.
  • Strong foundation in mathematical proof writing and advanced problem-solving techniques.
  • Ability to create original, high-difficulty competition problems.
  • Excellent analytical thinking and attention to mathematical accuracy.
  • Strong written communication skills with the ability to present rigorous mathematical arguments clearly.

Responsabilités

  • Design original Olympiad-style mathematics problems that challenge advanced AI reasoning capabilities.
  • Evaluate AI-generated solutions for correctness, logical consistency, and mathematical precision.
  • Develop high-quality reference solutions with clear, rigorous reasoning.

Connaissances

Olympiad-level mathematics
Mathematical proof writing
Problem design
Mathematics competition experience

Description du poste

Weekday AI is seeking experts in Olympiad mathematics to design and evaluate advanced problems that push AI systems’ reasoning capabilities. You will create original Olympiad-style questions, assess AI solutions for rigor and coherence, and craft comprehensive reference solutions to set benchmark standards.

This fully remote, independent contractor role offers flexible hours and pay-per-task compensation based on problem difficulty, solution quality, and overall efficiency.

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