Researcher - Lean 4 & Formal Proof Systems

Alignerr

Remote

Researcher — Lean 4 & Formal Proof Systems (AI Training)

About The Role

What if your mathematical expertise could directly shape how AI reasons about formal proofs — pushing the boundary of what machines can understand and verify? We're looking for mathematicians and formal verification specialists to translate sophisticated mathematical arguments into machine-verifiable Lean proofs, working on problems that sit at the very frontier of what automated systems can handle today.

This is a fully remote, flexible contract role designed for researchers who love rigor, structure, and the intellectual challenge of making the implicit explicit.

  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 10–40 hours/week

What You'll Do

  • Translate informal mathematical proofs into precise, machine-verifiable formalizations in Lean 4 (and related proof systems)
  • Analyze both generic and domain-specific proofs — identifying gaps, hidden assumptions, and formalizable sub-structures
  • Construct formalizations that test and extend the limits of existing proof assistants, especially where automation struggles or fails
  • Investigate the breakdown points of automated provers and articulate the underlying reasons — complexity, missing lemmas, library gaps, and more
  • Collaborate with research teams to design, refine, and evaluate strategies for improving formal verification pipelines
  • Develop highly readable, reproducible proof scripts aligned with mathematical best practices and proof assistant idioms
  • Provide guidance on proof decomposition, lemma selection, and structuring techniques for formal models
  • Create Lean proofs that surface deeper patterns or generalizations implicit in the original mathematics

Who You Are

  • Holds a Master's degree or higher in Mathematics, Logic, Theoretical Computer Science, or a closely related field
  • Deeply grounded in rigorous proof construction across areas such as algebra, analysis, topology, logic, or discrete mathematics
  • Experienced with Lean (Lean 3 or Lean 4), Coq, Isabelle/HOL, Agda, or comparable formal systems — Lean strongly preferred
  • Genuinely enthusiastic about formal verification, proof assistants, and the future of mechanized mathematics
  • Able to translate dense, informal mathematical arguments into clean, structured, formally verified proofs
  • Finds satisfaction in resolving the gaps that automated tools cannot yet bridge

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
  • Prior experience with data annotation, data quality, or evaluation systems
  • Strong communication skills for articulating formalization decisions, edge cases, and reasoning strategies

Why Join Us

  • Work directly on cutting-edge AI research projects alongside leading research labs
  • Fully remote and flexible — work when and where it suits you
  • Freelance autonomy with meaningful, intellectually stimulating work at the frontier of formal mathematics
  • Gain rare exposure to how advanced AI models are trained on formal reasoning tasks
  • Potential for ongoing work and contract extension as new projects launch

How to apply

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