Remote Lean Proof Specialist for AI Reasoning

Alignerr Corp.; United States; À distance; USD 110 000 - 207 000; Temps partiel

Avantages offerts par ce poste

Fully remote

Flexible schedule

Freelance autonomy

Ongoing project opportunities

Résumé du poste

Alignerr seeks mathematicians with hands-on experience in formal proof systems to translate rigorous arguments into machine-verifiable Lean formalizations. This fully remote hourly contract role sits at the intersection of mathematics and computer science, with flex-time and task-based commitment.

You will translate dense mathematical arguments into structured formal proofs, collaborate with AI researchers, and push the boundaries of proof assistants like Lean, Coq, and Isabelle/HOL.

Qualifications

• Master's degree or higher in Mathematics, Logic, Theoretical Computer Science, or a closely related field.
• Strong proof-writing across algebra, analysis, topology, logic, or discrete math.
• Hands-on experience with Lean (3/4), Coq, Isabelle/HOL, or Agda.

Responsabilités

• Translate informal proofs into Lean and related systems with emphasis on clarity and correctness.
• Analyze proofs across mathematical domains to identify gaps and formalizable sub-structures.
• Construct formalizations that test the limits of proof assistants where automation struggles.
• Collaborate with AI researchers to improve formal verification pipelines.
• Develop clean, reproducible proof scripts aligned with proof-idioms and best practices.

Connaissances

Mathematical proof writing

Formal verification

Clear communication

Problem solving

Self-motivated

Formation

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

Outils

Lean

Coq

Isabelle/HOL

Agda

Description du poste

Alignerr seeks mathematicians with hands-on experience in formal proof systems to translate rigorous arguments into machine-verifiable Lean formalizations. This fully remote hourly contract role sits at the intersection of mathematics and computer science, with flex-time and task-based commitment.

You will translate dense mathematical arguments into structured formal proofs, collaborate with AI researchers, and push the boundaries of proof assistants like Lean, Coq, and Isabelle/HOL.