Researcher - Lean 4 & Formal Proof Systems

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<strong>Researcher — Lean 4 & Formal Proof Systems (AI Training)<br><br></strong><strong>About The Role<br><br></strong>What if your deep mathematical training could directly shape the future of AI reasoning? We're looking for mathematicians and formal verification experts to translate sophisticated proofs into Lean 4 — working at the exact boundary where human mathematical intuition meets machine-verifiable logic.<br><br>This is a rare opportunity to contribute to cutting-edge AI research by helping build training data that pushes proof assistants beyond their current limits. If you find satisfaction in taking a dense, elegant argument and expressing it with machine-level precision, this role was made for you.<br><br><ul><li>Organization: Alignerr</li><li>Type: Hourly Contract</li><li>Location: Remote</li><li>Commitment: 10–40 hours/week (flexible)<br><br></li></ul><strong>What You'll Do<br><br></strong><ul><li>Translate informal mathematical proofs into rigorous, machine-verifiable Lean 4 formalizations</li><li>Analyze proofs across domains — identifying gaps, hidden assumptions, and formalizable sub-structures</li><li>Construct formalizations that probe the limits of existing proof assistants, especially where automation fails</li><li>Collaborate with AI researchers to design and refine formal verification strategies</li><li>Develop clean, readable, reproducible proof scripts aligned with mathematical best practices</li><li>Provide expert guidance on proof decomposition, lemma selection, and structuring techniques</li><li>Investigate and articulate where automated provers break down — and why</li><li>Create Lean proofs that surface deeper patterns or generalizations implicit in the original mathematics<br><br></li></ul><strong>Who You Are<br><br></strong><ul><li>Hold a Master's degree or higher in Mathematics, Logic, Theoretical Computer Science, or a closely related field</li><li>Possess a strong foundation in rigorous proof construction across areas such as algebra, analysis, topology, logic, or discrete mathematics</li><li>Have hands-on experience with Lean (Lean 3 or Lean 4), Coq, Isabelle/HOL, Agda, or comparable proof assistants — Lean strongly preferred</li><li>Genuinely enthusiastic about formal verification, proof assistants, and the future of mechanized mathematics</li><li>Able to translate informal mathematical arguments into clean, structured formal proofs independently<br><br></li></ul><strong>Nice to Have<br><br></strong><ul><li>Familiarity with type theory, the Curry-Howard correspondence, and proof automation tools</li><li>Experience contributing to large-scale formalization projects such as Mathlib</li><li>Exposure to theorem provers in contexts where automated reasoning fails or requires extensive manual scaffolding</li><li>Prior experience with data annotation, data quality evaluation, or AI training pipelines</li><li>Strong communication skills for articulating formalization decisions, edge cases, and proof strategies<br><br></li></ul><strong>Why Join Us<br><br></strong><ul><li>Work at the frontier of formal verification and AI research — problems here are genuinely unsolved</li><li>Fully remote and flexible — structure your hours around your life</li><li>Freelance autonomy with the substance of impactful, intellectually demanding work</li><li>Collaborate with researchers at leading AI labs on projects that matter</li><li>Contribute directly to advancing what AI systems can reason about and verify</li><li>Potential for ongoing work and contract extension as new projects launch</li></ul>

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