Join the Appen team as an Independent Contractor for Project Madara . Project Madara is seeking native English speakers for a short, one-time task focused on collecting speech data to improve AI voice and speech recognition systems.
Formal Verification Scientist (Lean 4 & Mathlib)
Remote (Global)
$170 – $200/hr
June 10, 2026
Job description
Formal Verification Scientist (Lean 4 & Mathlib)
About the Role
What if your deep mathematical training could directly shape how AI reasons about proofs — and push the boundaries of what machines can verify? We're looking for Formal Verification Scientists to translate advanced mathematical arguments into precise, machine-checkable Lean 4 formalizations, working at the very frontier of AI research and mechanized mathematics.
This is a fully remote, flexible contract role for mathematicians who love rigorous proof construction and want their expertise to matter beyond the academy.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Translate informal mathematical proofs into clean, structured Lean 4 formalizations with an emphasis on clarity and correctness
- Analyze both generic and domain-specific proofs — identifying gaps, hidden assumptions, and formalizable sub-structures
- Push the limits of existing proof assistants, especially in areas where automated tools struggle or fail entirely
- Collaborate with AI researchers to design, refine, and evaluate strategies for improving formal verification pipelines
- Develop highly readable, reproducible proof scripts aligned with mathematical best practices and Lean 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, or deeper structural issues
- Create Lean proofs that reveal deeper patterns or generalizations implicit in the original mathematics
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 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 comparable proof assistants — Lean strongly preferred
- Deeply enthusiastic about formal verification, proof assistants, and the future of mechanized mathematics
- Able to translate dense, informal arguments into clean, structured formal proofs with precision and care
- A mathematically mature problem-solver who finds genuine satisfaction in resolving 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 in settings where automated reasoning frequently fails or requires manual scaffolding
- Prior experience with data annotation, data quality evaluation, or AI training workflows
- Strong communication skills for explaining formalization decisions, edge cases, and reasoning strategies
Why Join Us
- Work directly on cutting-edge AI projects alongside leading research labs
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with meaningful, intellectually stimulating work
- Contribute to some of the most challenging open problems at the intersection of mathematics and AI
- Potential for ongoing work and contract extension as new projects launch
Apply now
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Earn up to $200 per week! Help Advance the Future of Physical AI and Robotics! This is data collection project designed to support the development of next-generation physical AI and robotics systems through real-world video recordings of everyday household activities. Why Join?
Project Overview We are sourcing independent Audio Evaluation Specialists for an AI benchmark evaluation project assessing advanced agentic audio models.
Project Overview We are sourcing independent Audio Evaluation Specialists for an AI benchmark evaluation project assessing advanced agentic audio models.