Mathematics Specialist - AI Trainer Project- Freelance

Invisible AgencyAustin, TX
23h$8 - $65Remote

About The Position

Are you a mathematics expert eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high‑quality training data, tomorrow’s AI can democratize world‑class education, keep pace with cutting‑edge research, and streamline problem-solving for mathematicians everywhere. That training data begins with you—we need your expertise to help power the next generation of AI. We’re looking for mathematics specialists who live and breathe algebra, calculus, number theory, geometry, probability, statistics, linear algebra, differential equations, real analysis, mathematical modeling, and discrete mathematics. You’ll challenge advanced language models on topics like multivariable calculus, cryptography, optimization techniques, machine learning algorithms, mathematical proofs, set theory, combinatorics, and stochastic processes—documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on theoretical and applied mathematics questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A master’s or PhD in mathematics or a closely related field is ideal; peer‑reviewed publications, teaching experience, or hands‑on research projects signal fit. Clear, metacognitive communication—“showing your work”—is essential. Ready to turn your mathematics expertise into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will teach the world.

Requirements

  • Expertise in algebra, calculus, number theory, geometry, probability, statistics, linear algebra, differential equations, real analysis, mathematical modeling, and discrete mathematics
  • Clear, metacognitive communication

Nice To Haves

  • Master’s or PhD in mathematics or a closely related field
  • Peer‑reviewed publications
  • Teaching experience
  • Hands‑on research projects

Responsibilities

  • Converse with the model on theoretical and applied mathematics questions
  • Verify factual accuracy and logical soundness
  • Capture reproducible error traces
  • Suggest improvements to our prompt engineering and evaluation metrics
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