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Lean 4 Proof Engineer - Mathematical Formalization
Job description
Lean 4 Proof Engineer — Mathematical Formalization
About the Role
What if your deepest mathematical instincts could directly shape how AI understands and reasons about formal proof? We're looking for mathematicians with serious proof-writing chops to formalize advanced mathematical arguments in Lean 4 — working at the very frontier of what modern proof assistants can express, verify, and automate.
This is a fully remote, flexible contract role built for mathematicians who love precision, structure, and the challenge of translating elegant human reasoning into machine-verifiable form.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Translate informal mathematical proofs into rigorous, machine-verifiable Lean 4 formalizations with an emphasis on clarity, correctness, and structure
- Identify gaps, hidden assumptions, and formalizable sub-structures within generic and domain-specific proofs
- Construct formalizations that probe the limits of existing proof assistants — especially where automated tools struggle or fail entirely
- Collaborate with AI researchers to design, refine, and evaluate strategies for improving formal verification pipelines
- Develop highly readable, reproducible proof scripts aligned with mathematical best practices and proof assistant idioms
- Provide expert guidance on proof decomposition, lemma selection, and structuring techniques for formal models
- Formalize classical proofs and compare machine-verifiable structures against textbook arguments
- Investigate and articulate the breakdown points of automated provers — complexity barriers, missing lemmas, insufficient libraries, and more
- Surface deeper patterns or generalizations implicit in the original mathematics through Lean proof construction
Who You Are
- Hold a Master's degree or higher in Mathematics, Logic, Theoretical Computer Science, or a closely related field
- Possess a strong foundation in rigorous proof writing across areas such as algebra, analysis, topology, logic, or discrete mathematics
- Have hands-on experience with Lean (Lean 3 or Lean 4), Coq, Isabelle/HOL, Agda, or comparable formal systems — Lean is strongly preferred
- Genuinely excited about formal verification, proof assistants, and the future of mechanized mathematics
- Able to translate dense, informal mathematical arguments into clean, structured formal proofs with precision and care
Nice to Have
- Familiarity with type theory, the Curry-Howard correspondence, and proof automation tools
- Experience contributing to large-scale formalization projects such as Mathlib
- Exposure to theorem provers where automated reasoning frequently fails or requires significant manual scaffolding
- Prior experience with data annotation, evaluation systems, or AI training workflows
- Strong communication skills for articulating formalization decisions, edge cases, and reasoning strategies to non-specialist collaborators
Why Join Us
- Work on cutting-edge AI projects alongside leading research labs and AI teams
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, intellectually stimulating work
- Get direct exposure to advanced LLMs and how they are trained on formal mathematical reasoning
- Contribute to work that is actively pushing the boundary of what AI can understand and verify
- Potential for ongoing work and contract extension as new projects launch
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