Specialized Roles:
Job specializations:
-
Research/Development
AI Evaluation, Mathematics
Job Description & How to Apply Below
About
The Role
What if your deep mathematical training could directly shape the future of AI reasoning? We're looking for mathematicians and formal verification specialists to translate sophisticated mathematical proofs into Lean 4 — working at the exact boundary where human mathematical intuition meets machine-verifiable logic.
This is a fully remote, flexible contract role designed for researchers who love rigor, structure, and pushing the limits of what proof assistants can do. If you find satisfaction in taking a dense, elegant argument and expressing it in a form a machine can verify, this role was built for you.
Organization:
Alignerr
Type:
Hourly Contract
Location:
Remote
Commitment: 10–40 hours/week
What You'll Do
Translate informal mathematical proofs into Lean 4 (and related proof systems) with a strong emphasis on clarity, structure, and correctness
Analyze domain-specific and general proofs to identify gaps, hidden assumptions, and formalizable sub-structures
Construct formalizations that test the limits of existing proof assistants — especially where tools struggle or fail
Collaborate with researchers 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 expert guidance on proof decomposition, lemma selection, and structuring techniques for formal models
Investigate where automated provers break down and articulate why — complexity, missing lemmas, insufficient libraries, and beyond
Create Lean proofs that reveal deeper patterns or generalizations implicit in original mathematical arguments
Who You Are
Hold a Master's degree or higher in Mathematics, Logic, Theoretical Computer Science, or a closely related field
Have a strong foundation in rigorous proof writing across algebra, analysis, topology, logic, or discrete mathematics
Have hands‑on experience with Lean (Lean 3 or Lean
4), Coq, Isabelle/HOL, Agda, or comparable formal systems — Lean strongly preferred
Deeply enthusiastic about formal verification, proof assistants, and the future of mechanized mathematics
Able to translate informal mathematical arguments into clean, structured, machine-verifiable formal proofs
Mathematically mature and comfortable working at the frontier of what formal verification can currently express
Nice to Have
Familiarity with type theory, the Curry-Howard correspondence, and proof automation tools
Experience with large-scale formalization projects such as Mathlib
Exposure to theorem provers where automated reasoning frequently fails or requires significant manual scaffolding
Prior experience with data annotation, data quality, or AI evaluation systems
Strong communication skills for explaining formalization decisions, edge cases, and reasoning strategies
Why Join Us
Work directly on cutting-edge AI research projects alongside leading AI labs
Fully remote and flexible — work when and where it suits you
Freelance autonomy with the structure of meaningful, intellectually rigorous work
Contribute to advancing what AI systems can reason about mathematically
Potential for ongoing work and contract extension as new research projects launch
Collaborate with a global team of researchers working at the frontier of AI and formal mathematics
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