Remote Lean 4 Proof Engineer: Formalize AI Reasoning

Alignerr Corp.

Charlotte (AR)

À distance

USD 55 000 - 152 000

Temps partiel

Il y a 6 jours
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Résumé du poste

Alignerr is seeking a Lean 4 Proof Engineer to formalize advanced mathematical arguments for AI research. You will translate informal proofs into machine-verifiable Lean 4 formalizations, focusing on clarity, structure, and correctness, while collaborating with AI researchers to improve verification pipelines.

The role emphasizes rigorous proof work, exploration of proof assistants, and producing readable, reproducible proof scripts in a fully remote, hourly contract setting.

Qualifications

  • Master's degree or higher in a mathematical field.
  • Strong proof-writing skills across algebra, analysis, topology, logic.
  • Hands-on experience with Lean, Coq, or similar proof systems.
  • Ability to translate informal arguments into machine-verifiable proofs.

Responsabilités

  • Translate informal proofs into Lean 4 formalizations with clarity and correctness.
  • Analyze proofs to identify gaps and formalizable sub-structures.
  • Construct formalizations that test the limits of proof assistants.
  • Collaborate with AI researchers to improve verification pipelines.
  • Develop readable, reproducible proof scripts aligned with Lean idioms.
  • Guide proof decomposition and lemma selection for formal models.
  • Explain why automated provers fail and what is missing in libraries.

Connaissances

Lean proficiency
Formal verification
Mathematical reasoning
Lean proficiency
Coq/Isabelle

Formation

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

Outils

Lean
Coq
Isabelle
Agda

Description du poste

Alignerr is seeking a Lean 4 Proof Engineer to formalize advanced mathematical arguments for AI research. You will translate informal proofs into machine-verifiable Lean 4 formalizations, focusing on clarity, structure, and correctness, while collaborating with AI researchers to improve verification pipelines.

The role emphasizes rigorous proof work, exploration of proof assistants, and producing readable, reproducible proof scripts in a fully remote, hourly contract setting.

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