Remote Lean 4 Formal Proof Researcher

Alignerr Corp.

Sheffield (TX)

Remote

USD 96,000 - 152,000

Part time

11 hours ago
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Job summary

Aligner r Corp. is seeking a researcher to translate informal mathematical proofs into Lean 4 formalizations for AI training. You will analyze proofs across algebra, analysis, topology, logic, and discrete math, identifying gaps and formalizable sub-structures.

The role emphasizes precision, readability, and reproducibility of Lean scripts. The position is fully remote, flexible, and hourly, with 10–40 hours per week.

Qualifications

  • Master's degree or higher in Mathematics, Logic, Theoretical Computer Science, or a closely related field.
  • Strong foundation in rigorous proof writing across core mathematical areas.
  • Hands-on experience with Lean (Lean 3 or Lean 4), Coq, Isabelle/HOL, Agda, or comparable systems (Lean 4 strongly preferred).
  • Deep enthusiasm for formal verification, proof assistants, and mechanized mathematics.

Responsibilities

  • Translate informal, human-written proofs into precise, machine-verifiable Lean 4 formalizations.
  • Analyse proofs across domains—algebra, analysis, topology, logic, discrete mathematics—identifying hidden assumptions and gaps.
  • Construct formalizations to test limits of proof assistants where automation breaks down.
  • Develop readable, reproducible Lean proof scripts aligned with best practices and Lean idioms.
  • Collaborate with AI researchers to design and evaluate formal verification pipelines.
  • Provide guidance on proof decomposition, lemma selection, and structuring strategies for formal models.
  • Investigate failure modes of automated provers and how to work around them.
  • Create Lean proofs that surface deeper patterns and generalizations in the original mathematics.

Skills

Rigorous proof writing
Formal reasoning
Strong communication

Education

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

Tools

Lean (Lean 3/4)
Coq
Isabelle/HOL
Agda
Mathlib

Job description

Aligner r Corp. is seeking a researcher to translate informal mathematical proofs into Lean 4 formalizations for AI training. You will analyze proofs across algebra, analysis, topology, logic, and discrete math, identifying gaps and formalizable sub-structures.

The role emphasizes precision, readability, and reproducibility of Lean scripts. The position is fully remote, flexible, and hourly, with 10–40 hours per week.

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