Lean Proof Architect: Remote Formalization Specialist

Alignerr

United States

On-site

USD 83,000 - 165,000

Full time

46 hours ago
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Benefits offered by this job

Fully remote
Freelance autonomy
Flexible, task-based

Job summary

Alignerr is seeking mathematicians with hands-on experience in formal proof systems to tackle problems beyond automated tools. This fully remote, hourly contract role focuses on translating rigorous human arguments into machine-verifiable Lean formalizations that advance AI reasoning.

You'll work across math and CS domains, translating dense proofs, testing proof assistants, and collaborating with AI researchers to improve verification pipelines.

Qualifications

  • Master's degree or higher in Mathematics or related field.
  • Strong foundation in rigorous proof writing across algebra, analysis, topology, logic, or discrete math.
  • Hands-on experience with Lean (Lean 3 or Lean 4), Coq, Isabelle/HOL, or comparable proof systems.

Responsibilities

  • Translate informal proofs into Lean formalizations with clarity and correctness.
  • Analyze proofs across domains to identify gaps and formalizable 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 clean, 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.

Skills

Rigorous proof writing
Formal verification enthusiasm
Excellent communication

Education

Master's degree or higher in Mathematics/Logic/CS

Tools

Lean
Coq
Isabelle/HOL
Agda

Job description

Alignerr is seeking mathematicians with hands-on experience in formal proof systems to tackle problems beyond automated tools. This fully remote, hourly contract role focuses on translating rigorous human arguments into machine-verifiable Lean formalizations that advance AI reasoning.

You'll work across math and CS domains, translating dense proofs, testing proof assistants, and collaborating with AI researchers to improve verification pipelines.

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