Applied Formal Methods Researcher (Lean 4)
Alignerr · Chicago, IL · Today
RemoteRemoteAnalystContract
About The Role
What if your deep mathematical training could directly shape how AI reasons about proofs — pushing the boundaries of what machines can verify, understand, and automate? We're looking for mathematicians with hands-on experience in formal proof systems to translate rigorous human arguments into machine-verifiable Lean 4 formalizations. You'll work at the cutting edge of AI research, helping map the frontier of automated reasoning and formal verification.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
Who You Are
- Hold a Master's degree or higher in Mathematics, Logic, Theoretical Computer Science, or a closely related field
- Possess a strong foundation in rigorous proof writing across areas such as algebra, analysis, topology, logic, or discrete mathematics
- Have hands-on experience with Lean (Lean 3 or Lean 4), Coq, Isabelle/HOL, Agda, or a comparable formal proof system — Lean strongly preferred
- Deeply enthusiastic about formal verification, proof assistants, and the future of mechanized mathematics
- Able to translate complex informal arguments into clean, structured formal proofs independently
- Thriving working at the frontier — you're energized by problems that automated tools can't yet solve
Nice to Have
- Familiarity with type theory, the Curry-Howard correspondence, and proof automation tools
- Experience contributing to large-scale formalization projects (e.g., mathlib)
- Exposure to theorem provers where automated reasoning frequently requires manual scaffolding
- Prior experience with data annotation, evaluation systems, or AI training workflows
- Strong communication skills for explaining formalization decisions, edge cases, and reasoning strategies