Lean Formalization Specialist: Remote Proof Engineer

Alignerr Corp.

Nashville (TN)

Remote

USD 83,000 - 165,000

Part time

20 hours ago
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Job summary

Alignerr seeks a Mathematical Formalization Specialist with hands-on Lean experience to translate informal proofs into machine-checked formalizations and push the boundaries of automated reasoning. This fully remote, hourly contract role invites mathematicians to shape AI reasoning and verification at the frontier of machine-verifiable mathematics.

You will collaborate with researchers, develop readable Lean scripts, test formalizations across domains, and contribute to future-proof verification

Qualifications

  • Master’s degree or higher in Mathematics, Logic, or related field.
  • Strong proof-writing foundation across algebra, analysis, topology, logic, or discrete math.
  • Hands-on experience with Lean (Lean 3 or Lean 4); Coq/Isabelle/Agda also valued.

Responsibilities

  • Translate informal proofs into Lean and related proof assistants with emphasis on clarity and correctness.
  • Analyze proofs across domains to identify gaps and formalizable sub-structures.
  • Create formalizations that test limits of proof assistants where automation struggles.
  • Collaborate to design strategies for improving formal verification pipelines.
  • Develop readable, reproducible proof scripts aligned with best practices and idioms.
  • Guide proof decomposition, lemma selection, and formal model structuring.
  • Investigate where automated provers fail and explain why.

Skills

Lean
Formal proof systems
Proof assistants
Mathematical rigor
Clear communication

Education

Master’s degree or higher in Mathematics or related field

Tools

Lean 3
Lean 4
Coq
Isabelle/HOL
Agda

Job description

Alignerr seeks a Mathematical Formalization Specialist with hands-on Lean experience to translate informal proofs into machine-checked formalizations and push the boundaries of automated reasoning. This fully remote, hourly contract role invites mathematicians to shape AI reasoning and verification at the frontier of machine-verifiable mathematics.

You will collaborate with researchers, develop readable Lean scripts, test formalizations across domains, and contribute to future-proof verification

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