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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 academic work for students and professionals 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, linear algebra, differential equations, statistics, geometry, mathematical logic, and discrete mathematics. You'll challenge advanced language models on topics like real and complex analysis, optimization theory, mathematical proofs, set theory, probability distributions, cryptographic algorithms, and applied mathematics-documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on classroom problems and theoretical 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 quantitative field is ideal; peer‑reviewed publications, teaching experience, research in pure or applied mathematics, or hands‑on experience with mathematical modeling 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. 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Remote Are you a theoretical mathematics expert eager to shape the future of AI? Large-scale language models are rapidly advancing, and their ability to handle rigorous proof-based reasoning depends on high-quality mathematical training data. With your advanced expertise, tomorrow's AI can better understand abstraction, logic, measure theory, homotopy, and the deep structures of modern mathematics. That training data begins with you - your insight will help power the next generation of AI. We're looking for specialists with deep foundations in pure mathematics who can engage with advanced topics across probability theory, measure theory, real and functional analysis, optimization, abstract algebra, and category theory. Coupled with this deep foundation, we need each expert to have a normalized fluency in Lean 4, the proof assistant and programming language. On a typical day, you will construct and evaluate complex proofs, substantiate the mathematical reasoning for correctness and rigor while identifying subtle conceptual or logical failures, and translate this material to successfully build in .lean syntax. You will also collaborate with our team to refine prompts, evaluation frameworks, and mathematical reasoning benchmarks, enhancing the overall quality of our operations. Candidates fluent in Lean 4 with an in-progress or freshly earned PhD or current PostDoc experience in pure mathematics are ideal. 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