About The Position

This remote independent-contractor role is for experienced PhD mathematicians, statisticians, and senior research professionals contributing domain expertise to the development, evaluation, and advancement of AI models. The role involves collaborating with AI research teams to improve model understanding and reasoning in complex mathematical and statistical problems. Work includes evaluating reasoning tasks and model outputs, creating rigorous problem specifications and reference solutions, and developing benchmarks to measure model performance. The position offers a flexible schedule, with project timelines subject to change based on business requirements and individual performance. Assignments must not require access to confidential or proprietary information belonging to a current or former employer, client, university, or research institution. Payments are processed weekly through Stripe or Wise for services rendered.

Requirements

  • PhD in Mathematics, Applied Mathematics, Statistics, Operations Research, or a closely related discipline.
  • Senior-level academic or research experience, such as a faculty appointment at a recognized university, Principal Investigator, Staff Scientist, Senior Scientist, or equivalent senior research position at a university, national laboratory, or established research organization.
  • Deep specialization in at least one listed domain: mathematical analysis and partial differential equations, algebra and number theory, geometry and topology, probability theory and statistics, applied mathematics, mathematical optimization and operations research, computational mathematics, or advanced statistical modeling and inference.
  • Strong peer-reviewed research publication record.
  • Hands-on experience using Large Language Models and AI tools in academic, mathematical, or research workflows.
  • Strong analytical and critical-thinking abilities, including the ability to identify subtle mathematical errors and evaluate complex proofs.
  • Excellent written communication skills and the ability to provide precise, structured, and technically sound feedback.
  • Must be currently based in the United States.
  • H-1B and STEM OPT visa holders cannot be accommodated.

Nice To Haves

  • Recognition through competitive academic fellowships, research grants, awards, or other notable research achievements.

Responsibilities

  • Assess mathematical and statistical problems, reasoning tasks, and AI-generated outputs for accuracy, logical consistency, and mathematical rigor.
  • Identify gaps in proofs, unjustified assumptions, incorrect derivations, flawed reasoning, and invalid generalizations in AI-generated solutions.
  • Develop precise, challenging, research-level mathematical and statistical problem statements.
  • Create detailed reference solutions and rigorous mathematical proofs that establish standards for correctness and logical reasoning.
  • Design advanced mathematical and statistical problems, evaluation datasets, and benchmarks within the area of specialization.
  • Distinguish mathematically sound arguments from plausible-sounding but incorrect solutions.
  • Collaborate with AI researchers and subject matter experts across related disciplines to establish evaluation methodologies and improve model reasoning.
  • Translate specialized mathematical knowledge and expert judgment into structured evaluation criteria, detailed feedback, and measurable quality standards.
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