Mathematical Formalization Specialist (Lean / Formal Proof Systems)
About this role
Mathematical Formalization Specialist (Lean / Formal Proof Systems)
About the Role
What if your deep mathematical training could directly shape how AI reasons, verifies, and understands formal logic? We're looking for mathematicians with hands-on experience in formal proof systems — particularly Lean — to work at the intersection of rigorous mathematics and cutting-edge AI research.
This is a fully remote, flexible contract role built for mathematically mature problem-solvers who find satisfaction in translating elegant human arguments into precise, machine-verifiable form. You'll work on proofs that push the boundaries of what automated tools can currently handle — helping map the frontier of formal verification itself.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: Flexible, task-based
What You'll Do
- Translate informal mathematical proofs into Lean (and related proof systems) with an emphasis on clarity, structure, and correctness
- Analyze generic and domain-specific proofs, identifying gaps, hidden assumptions, and formalizable sub-structures
- Construct formalizations that test the limits of existing proof assistants — especially where tools struggle or fail
- Collaborate with 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 guidance on proof decomposition, lemma selection, and structuring techniques for formal models
- Investigate where automated provers break down and articulate why — uncovering complexity, missing lemmas, or insufficient libraries
Who You Are
- Hold a Master's degree or higher in Mathematics, Logic, Theoretical Computer Science, or a closely related field
- Have 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 systems — Lean strongly preferred
- Genuinely passionate about formal verification, proof assistants, and the future of mechanized mathematics
- Able to translate informal arguments into clean, well-structured formal proofs
- Mathematically mature — you notice the gaps that others skip over and know how to resolve them
Nice to Have
- Familiarity with type theory, the Curry–Howard correspondence, and proof automation tools
- Experience with large-scale formalization projects (e.g., mathlib)
- Exposure to theorem provers where automated reasoning frequently fails or requires manual scaffolding
- Strong communication skills for explaining formalization decisions, edge cases, and reasoning strategies
Sample Work You Might Do
- Formalize classical proofs and compare machine-verifiable structures against textbook arguments
- Create Lean proofs that reveal deeper patterns or generalizations implicit in the original mathematics
- Identify precisely where and why automated provers fail on a given class of problems
Why Join Us
- Work on some of the most technically demanding AI research problems in existence today
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, high-impact, task-based work
- Contribute directly to advancing the reliability and reasoning capability of frontier AI systems
- Potential for ongoing work and contract extension as new projects launch
A legitimate, well-funded platform (built by Labelbox) with strong rates for experts. The real catch is availability — per-approved-task pay and quiet stretches between projects.
AITrainerGigs aggregates this listing from Alignerr.