Verified Job
Back Office / Data Entry
Researcher - Lean 4 & Formal Proof Systems
Back Office / Data Entry
#663609
Remote / WFH
Job Description
Location: Remote
About The Job
At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models.
Write and formalize advanced mathematical proofs in Lean for cutting-edge AI research. Ideal for mathematicians passionate about formal verification and pushing the limits of modern proof assistants.
Organization: Alignerr
Position: Researcher - Lean 4 & Formal Proof Systems
Type: Hourly Contract
Compensation: $70–$150 /hour
Location: Remote
Commitment: 10–40 hours/week
Role Overview
• We are seeking mathematicians with deep training in rigorous proof construction and hands-on experience with formal proof languages, especially Lean. This role sits at the intersection of mathematics and computer science, focusing on translating human-written mathematical arguments into precise, machine-verifiable formalizations.
• You will work on proofs that often lie beyond the current capabilities of automated provers, helping us map the frontier of what formal verification can express
About The Job
At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models.
Write and formalize advanced mathematical proofs in Lean for cutting-edge AI research. Ideal for mathematicians passionate about formal verification and pushing the limits of modern proof assistants.
Organization: Alignerr
Position: Researcher - Lean 4 & Formal Proof Systems
Type: Hourly Contract
Compensation: $70–$150 /hour
Location: Remote
Commitment: 10–40 hours/week
Role Overview
• We are seeking mathematicians with deep training in rigorous proof construction and hands-on experience with formal proof languages, especially Lean. This role sits at the intersection of mathematics and computer science, focusing on translating human-written mathematical arguments into precise, machine-verifiable formalizations.
• You will work on proofs that often lie beyond the current capabilities of automated provers, helping us map the frontier of what formal verification can express
