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Mathematical Formalization Specialist (Lean ​/ Formal Proof Systems

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: Alignerr
Full Time position
Listed on 2026-08-15
Job specializations:
  • Energy/Power Generation
    Mathematics
Salary/Wage Range or Industry Benchmark: 83000 - 165000 USD Yearly USD 83000.00 165000.00 YEAR
Job Description & How to Apply Below
Position: Mathematical Formalization Specialist (Lean / Formal Proof Systems)

About The Role

What if your deep mathematical training could directly shape the future of AI reasoning? We're looking for mathematicians with hands-on experience in formal proof systems - especially Lean - to tackle problems that sit beyond the reach of automated tools. This is a fully remote, flexible contract role at the intersection of mathematics and computer science. You'll work on genuinely hard problems, translating rigorous human arguments into machine-verifiable formalizations that help map the frontier of what proof assistants can express, capture, and automate.

  • Organization:
    Alignerr
  • Type:
    Hourly Contract
  • Location:

    Remote
  • Commitment:
    Flexible, task-based
What You'll Do
  • Translate informal mathematical proofs into Lean (and related proof systems) with an emphasis on clarity, structure, and correctness
  • Analyze proofs across mathematical domains - identifying gaps, hidden assumptions, and formalizable sub-structures
  • Construct formalizations that test the limits of existing proof assistants, especially where automated tools struggle or fail
  • Collaborate with AI researchers to design, refine, and evaluate strategies for improving formal verification pipelines
  • Develop clean, reproducible proof scripts aligned with mathematical best practices and proof assistant idioms
  • Provide expert guidance on proof decomposition, lemma selection, and structuring techniques for formal models
Sample Work You Might Do
  • Formalize classical proofs and compare machine-verifiable structures against textbook arguments
  • Investigate where automated provers break down - and articulate precisely why (complexity, missing lemmas, insufficient libraries, etc.)
  • Write Lean proofs that reveal deeper patterns or generalizations implicit in the original mathematics
Required Who You Are
  • Master's degree or higher in Mathematics, Logic, Theoretical Computer Science, or a closely related field
  • Strong foundation in rigorous proof writing across areas such as algebra, analysis, topology, logic, or discrete mathematics
  • Hands-on experience with Lean (Lean 3 or Lean
    4), Coq, Isabelle/HOL, Agda, or comparable formal proof systems - Lean strongly preferred
  • Genuine enthusiasm for formal verification, proof assistants, and the future of mechanized mathematics
  • Ability to translate dense, informal mathematical arguments into clean, structured formal proofs
Nice To Have
  • Familiarity with type theory, the Curry-Howard correspondence, and proof automation tools
  • Experience contributing to large-scale formalization projects such as mathlib
  • Exposure to theorem provers where automated reasoning frequently fails or requires manual scaffolding
  • Strong communication skills for articulating formalization decisions, edge cases, and reasoning strategies
The Ideal Candidate

You're a mathematically mature problem-solver who finds genuine satisfaction in taking a dense, elegant argument and expressing it in a form a machine can understand. You appreciate precision, structural beauty, and the intellectual challenge of resolving gaps that automated tools cannot yet bridge. You don't just do mathematics - you think carefully about how mathematics is done.

Why Join Us
  • Work on cutting-edge AI research projects alongside leading research labs
  • Fully remote and flexible - work when and where it suits you
  • Freelance autonomy with the structure of meaningful, intellectually stimulating work
  • Contribute directly to advancing the reliability and reasoning capabilities of next-generation AI
  • Potential for ongoing work and contract extension as new projects launch
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