Lean 4 Proof Engineer - Mathematical Formalization
Alignerr
Remote
Lean 4 Proof Engineer — Mathematical Formalization
About The Role
What if your deep mathematical training could directly shape the future of AI? We're looking for expert mathematicians to formalize advanced proofs in Lean 4 — working at the exact boundary of what modern proof assistants can express, verify, and automate.
This is a fully remote, flexible contract role built for mathematicians who find beauty in precision and satisfaction in making a machine understand a human argument. No AI background required — just serious mathematical depth and hands-on experience with formal proof systems.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Translate informal mathematical proofs into clean, structured, machine-verifiable Lean 4 formalizations
- Analyze proofs across domains — identifying hidden assumptions, gaps, and formalizable sub-structures
- Work on problems that push beyond the current capabilities of automated provers, mapping the frontier of formal verification
- Collaborate with researchers to design and refine 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
- Investigate where automated provers break down and articulate precisely why — complexity, missing lemmas, insufficient libraries, and beyond
- Formalize classical proofs and compare machine-verifiable structures against their textbook counterparts
Who You Are
- Master's degree or higher in Mathematics, Logic, Theoretical Computer Science, or a closely related field
- Strong foundation in rigorous proof writing across areas such as algebra, analysis, topology, logic, or discrete mathematics
- Hands-on experience with Lean (Lean 3 or Lean 4), Coq, Isabelle/HOL, Agda, or comparable systems — Lean 4 strongly preferred
- Deep enthusiasm for formal verification, proof assistants, and mechanized mathematics
- Able to translate informal arguments into clean, structured formal proofs with clarity and precision
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 extensive manual scaffolding
- Prior experience with data annotation, evaluation systems, or AI training workflows
- Strong communication skills for documenting formalization decisions, edge cases, and reasoning strategies
Why Join Us
- Work at the cutting edge of AI research alongside leading labs and researchers
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy: set your own pace, own your schedule, and collaborate globally
- Contribute directly to how AI reasons about and understands advanced mathematics
- Potential for contract extension as new projects launch