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Lean 4 Proof Engineer - Mathematical Formalization

Alignerr
Department:Design
Type:REMOTE
Region:Denver, CO
Location:Denver, CO
Experience:Entry level
Estimated Salary:$80,000 - $120,000
Skills:
LEAN 4COQISABELLE/HOLAGDAMATHEMATICAL PROOFFORMAL VERIFICATIONTYPE THEORYALGEBRAANALYSISTOPOLOGYLOGICDISCRETE MATHEMATICS
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Job Description

Posted on: July 2, 2026

Lean 4 Proof Engineer — Mathematical Formalization (AI Training)About The Role What if your deep mathematical expertise could directly shape the future of AI reasoning? We're looking for Lean 4 Proof Engineers to formalize advanced mathematical arguments into machine-verifiable proofs — working at the very frontier of what modern proof assistants can express, capture, and automate. This is a fully remote, flexible contract role built for mathematicians who live at the intersection of rigorous proof construction and formal verification. If you find genuine satisfaction in taking a dense, elegant human argument and expressing it in a form a machine can understand, this role was designed for you.

  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 10–40 hours/week

What You'll Do

  • Translate informal mathematical proofs into Lean 4 (and related proof systems) with 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 automated tools struggle or fail
  • 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 where automated provers break down — and articulate precisely why (complexity, missing lemmas, insufficient libraries, etc.)
  • Create Lean proofs that reveal 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 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 — with Lean strongly preferred
  • Deeply enthusiastic about formal verification, proof assistants, and the future of mechanized mathematics
  • Able to translate informal mathematical arguments into clean, structured, and machine-checkable formalizations
  • Comfortable working independently with precision and intellectual rigor

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, data quality, or AI evaluation systems
  • Strong communication skills for explaining formalization decisions, edge cases, and reasoning strategies

Why Join Us

  • Work on cutting-edge AI projects alongside world-leading research labs
  • 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 how advanced AI models are trained and evaluated on mathematical reasoning
  • Contribute to mapping the frontier of what formal verification can achieve
  • Potential for ongoing work and contract extension as new projects launch
Originally posted on LinkedIn

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