Remote AI Math Researcher for Training Data and Proofs

SaidGig

New York (NY)

Remote

USD 110,000 - 124,000

Full time

5 days ago
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Benefits offered by this job

Remote work
Competitive pay

Job summary

SaidGig is seeking a remote contracting mathematician to develop and evaluate training content for next-generation AI systems. This role emphasizes mathematical research, problem solving, proof writing, and high-quality material review; prior AI experience is not required.

You will author and review advanced problems, design rigorous challenges, and refine content for AI datasets, contributing to clear mathematical explanations across audiences worldwide.

Qualifications

  • PhD/ MSc preferred; strong record in mathematical research or proofs.
  • Experience writing mathematical content for academic or applied settings.
  • Ability to explain complex ideas clearly in writing.

Responsibilities

  • Author and review advanced mathematical problems, solutions, and proofs across calculus and higher math.
  • Design and analyze mathematical challenges and provide rigorous feedback.
  • Evaluate and refine mathematical content for AI training datasets.
  • Develop analyses and explanations with research-level rigor.
  • Apply research methodology to develop and verify concepts.
  • Communicate complex ideas clearly in written and spoken forms.
  • Collaborate with project teams and contribute subject-matter expertise.

Skills

Calculus
Proof writing
Mathematical research
Written communication

Education

BSc in Mathematics
MSc in Mathematics
PhD in Mathematics

Tools

LaTeX

Job description

SaidGig is seeking a remote contracting mathematician to develop and evaluate training content for next-generation AI systems. This role emphasizes mathematical research, problem solving, proof writing, and high-quality material review; prior AI experience is not required.

You will author and review advanced problems, design rigorous challenges, and refine content for AI datasets, contributing to clear mathematical explanations across audiences worldwide.

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