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Lean Proof Engineer - Mathematical Formalization

Job in Sheffield, Pecos County, Texas, 79781, USA
Listing for: Alignerr Corp.
Full Time position
Listed on 2026-10-12
Job specializations:
  • IT/Tech
    Mathematics, AI Engineer (Applied/Software), AI Business & Operations
Salary/Wage Range or Industry Benchmark: 83000 - 165000 USD Yearly USD 83000.00 165000.00 YEAR
Job Description & How to Apply Below
Position: Lean 4 Proof Engineer - Mathematical Formalization
Location: Sheffield

Lean 4 Proof Engineer — Mathematical Formalization (AI Training) About

The Role

What if your deep mathematical training could directly shape how AI reasons about formal proofs — and help push the boundaries of what machines can verify?

We're looking for mathematicians and formal verification experts to translate advanced mathematical arguments into precise, machine-verifiable Lean 4 proofs for cutting-edge AI research. You'll be working at the frontier — tackling proofs that lie beyond the reach of current automated tools, and helping define what the next generation of AI-powered mathematics looks like.

This is a fully remote, flexible contract role built for mathematically mature problem-solvers who love precision, structure, and the challenge of making the implicit explicit.

  • Organization:
    Alignerr
  • Type:
    Hourly Contract
  • Location:

    Remote
  • Commitment: 10–40 hours/week
What You'll Do
  • Translate informal mathematical proofs into clean, structured Lean 4 formalizations with an emphasis on clarity, correctness, and reproducibility
  • Analyze proofs across domains — identifying gaps, hidden assumptions, and formalizable sub-structures
  • Construct formalizations that test and extend the limits of existing proof assistants — especially where automation fails
  • Investigate where automated provers break down and articulate the underlying reasons (complexity, missing lemmas, library gaps, etc.)
  • Collaborate with AI researchers to design, refine, and evaluate formal verification strategies
  • Provide expert guidance on proof decomposition, lemma selection, and structuring approaches
  • Develop proof scripts that reveal deeper patterns or generalizations implicit in the original mathematics
  • Compare machine-verifiable structures against classical textbook arguments to surface new insights
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 proof assistants — Lean strongly preferred
  • Deeply enthusiastic about formal verification, proof assistants, and the future of mechanized mathematics
  • Able to translate dense, informal arguments into precise, structured formal proofs with minimal ambiguity
  • Self-directed and comfortable working independently in an asynchronous, remote environment
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 manual scaffolding
  • Prior experience with data annotation, quality evaluation, or AI training pipelines
  • Strong communication skills for explaining formalization decisions, edge cases, and reasoning strategies
Why Join Us
  • Work directly with leading AI research labs on genuinely frontier problems in formal mathematics
  • Fully remote and flexible — work on your own schedule, from anywhere in the world
  • Freelance autonomy with meaningful, intellectually stimulating work
  • Contribute to AI research that is actively shaping the future of mathematical reasoning and verification
  • Potential for ongoing work and contract extension as new projects launch
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