Math & Reasoning

Math Expert (PhD)

ContractorRemote60 openings$80 - $90/hour

About this role

The company is engaging Math Experts (PhD) to contribute to an advanced AI training project for a customer. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Skills

Advanced MathematicsMathematical Problem-solvingAcademic WritingContent Review And EditingRemote Team Collaboration

Key responsibilities

  • Develop and provide comprehensive, accurate, and insightful responses to complex mathematics prompts spanning undergraduate and graduate curricula.
  • Review, refine, and deliver "golden responses"—high-quality model answers that exemplify subject mastery for use in AI training.
  • Collaborate with a distributed team of experts to ensure clarity, precision, and educational value in all mathematics content produced.
  • Analyze and interpret intricate mathematical problems, proofs, and concepts, distilling them into structured and accessible explanations.
  • Contribute feedback to improve project guidelines, response standards, and content workflows as the engagement evolves.
  • Adhere to project requirements regarding format, quality, and timeliness of deliverables.

Preferred qualifications

  • PhD in Mathematics or closely related discipline from an accredited institution.
  • Proven track record of academic excellence and subject-matter expertise, especially at the graduate level.
  • Exceptional written and verbal communication skills; ability to articulate complex concepts clearly and succinctly.
  • Experience authoring or reviewing mathematics materials, such as textbooks, exams, problem sets, or journal articles.
  • Familiarity with various branches of pure and applied mathematics.
  • Demonstrated attention to detail and commitment to producing precise, high-quality work.
  • Adaptability and openness to collaborative, iterative feedback in a remote expert network environment.
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