Researcher - Lean 4 & Formal Proof Systems
Posted Today by Alignerr
Negotiable
Undetermined
Remote
London, England, United Kingdom
Summary: The role of Researcher in Lean 4 & Formal Proof Systems involves translating complex mathematical proofs into machine-verifiable formats, specifically using Lean 4. This position requires collaboration with AI researchers to enhance formal verification strategies and contribute to AI training data. Candidates should possess a strong mathematical background and experience with proof assistants, particularly Lean. The role offers flexible hours and the opportunity to work remotely on cutting-edge AI research.
Key Responsibilities:
- Translate informal mathematical proofs into rigorous, machine-verifiable Lean 4 formalizations
- Analyze proofs across domains — identifying gaps, hidden assumptions, and formalizable sub-structures
- Construct formalizations that probe the limits of existing proof assistants, especially where automation fails
- Collaborate with AI researchers to design and refine formal verification strategies
- Develop clean, readable, reproducible proof scripts aligned with mathematical best practices
- Provide expert guidance on proof decomposition, lemma selection, and structuring techniques
- Investigate and articulate where automated provers break down — and why
- Create Lean proofs that surface deeper patterns or generalizations implicit in the original mathematics
Key Skills:
- Master's degree or higher in Mathematics, Logic, Theoretical Computer Science, or a closely related field
- Strong foundation in rigorous proof construction 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 proof assistants — Lean strongly preferred
- Enthusiastic about formal verification, proof assistants, and the future of mechanized mathematics
- Able to translate informal mathematical arguments into clean, structured formal proofs independently
- Familiarity with type theory, the Curry-Howard correspondence, and proof automation tools (nice to have)
- Experience contributing to large-scale formalization projects such as Mathlib (nice to have)
- Exposure to theorem provers in contexts where automated reasoning fails or requires extensive manual scaffolding (nice to have)
- Prior experience with data annotation, data quality evaluation, or AI training pipelines (nice to have)
- Strong communication skills for articulating formalization decisions, edge cases, and proof strategies
Salary (Rate): £140.00 hourly
City: London
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
Researcher — Lean 4 & Formal Proof Systems (AI Training)
About The Role
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. 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.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week (flexible)
What You'll Do
- Translate informal mathematical proofs into rigorous, machine-verifiable Lean 4 formalizations
- Analyze proofs across domains — identifying gaps, hidden assumptions, and formalizable sub-structures
- Construct formalizations that probe the limits of existing proof assistants, especially where automation fails
- Collaborate with AI researchers to design and refine formal verification strategies
- Develop clean, readable, reproducible proof scripts aligned with mathematical best practices
- Provide expert guidance on proof decomposition, lemma selection, and structuring techniques
- Investigate and articulate where automated provers break down — and why
- Create Lean proofs that surface deeper patterns or generalizations implicit in the original mathematics
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 construction 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 proof assistants — Lean strongly preferred
- Genuinely enthusiastic about formal verification, proof assistants, and the future of mechanized mathematics
- Able to translate informal mathematical arguments into clean, structured formal proofs independently
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 in contexts where automated reasoning fails or requires extensive manual scaffolding
- Prior experience with data annotation, data quality evaluation, or AI training pipelines
- Strong communication skills for articulating formalization decisions, edge cases, and proof strategies
Why Join Us
- Work at the frontier of formal verification and AI research — problems here are genuinely unsolved
- Fully remote and flexible — structure your hours around your life
- Freelance autonomy with the substance of impactful, intellectually demanding work
- Collaborate with researchers at leading AI labs on projects that matter
- Contribute directly to advancing what AI systems can reason about and verify
- Potential for ongoing work and contract extension as new projects launch