Remote Lean 4 Proof Engineer for AI Formalization

Alignerr Corp.

Sheffield (TX)

A distancia

USD 83.000 - 138.000

Jornada completa

Hace 4 días
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Ventajas ofrecidas por este puesto de trabajo

Fully remote work
Freelance autonomy
Contract extension potential

Descripción de la vacante

Alignerr is seeking a Lean 4 Proof Engineer to translate advanced mathematics into machine-verifiable proofs for AI training. This remote, hourly contract role suits mathematically mature problem-solvers who value precision and structure.

You will work independently, asynchronously, and collaborate with AI researchers to push the boundaries of mechanized reasoning in formal verification.

Formación

  • Master's degree or higher in Mathematics, Logic, Theoretical CS, or a closely related field.
  • Strong foundation in formal proof writing across algebra, analysis, topology, logic, or discrete math.
  • Hands-on experience with Lean (3 or 4) or other proof assistants; Lean preferred.

Responsabilidades

  • Translate informal proofs into Lean 4 formalizations with clarity, correctness, and reproducibility.
  • Analyze proofs across domains, identify gaps and formalizable sub-structures.
  • Construct formalizations that test the limits of current proof assistants.
  • Investigate where automated provers fail and articulate underlying reasons.
  • Collaborate with AI researchers to design, refine, and evaluate verification strategies.
  • Develop proof scripts that reveal deeper patterns or generalizations.

Conocimientos

Strong proof-writing
Independent work
Asynchronous collaboration

Educación

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

Herramientas

Lean
Coq
Isabelle/HOL
Agda

Descripción del empleo

Alignerr is seeking a Lean 4 Proof Engineer to translate advanced mathematics into machine-verifiable proofs for AI training. This remote, hourly contract role suits mathematically mature problem-solvers who value precision and structure.

You will work independently, asynchronously, and collaborate with AI researchers to push the boundaries of mechanized reasoning in formal verification.

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