Applied Formal Methods Researcher (Lean 4)
Alignerr · Remote · Translation / linguistics
Applied Formal Methods Researcher (Lean 4) is an open role at Alignerr, available remotely, with pay listed as $170–$200/hr.
Applications open on Alignerr’s own site. How we make money.
At a glance
- Pay
- $170–$200/hrStated by Alignerr
- Location
- Remote
- Work type
- Translation / linguistics
- Listed
- Since Oct 4, last confirmed Oct 23
How the pay compares
Higher than 97% of the 87 distinct hourly rates advertised for Translation / linguistics roles right now. Hourly USD, top of each advertised range, one count per distinct rate. Same method as the Pay Index.
From Alignerr’s listing
“Applied Formal Methods Researcher (Lean 4) About the Role What if your deep mathematical expertise could directly shape how the world's most advanced AI systems reason, verify, and understand formal logic?”
Show the full listing
Applied Formal Methods Researcher (Lean 4) About the Role What if your deep mathematical expertise could directly shape how the world's most advanced AI systems reason, verify, and understand formal logic? We're looking for Applied Formal Methods Researchers to translate complex mathematical arguments into machine-verifiable Lean 4 proofs — working at the very frontier of what proof assistants can express and automate. This is a fully remote, flexible contract role for mathematicians who find beauty in precision and satisfaction in conquering problems that automated tools simply cannot yet solve. 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, correctness, and reproducibility Analyze both general 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 tools struggle or fail entirely Investigate where automated provers break down and clearly articulate why — whether due to complexity, missing lemmas, or insufficient libraries Collaborate with researchers to design, refine, and evaluate strategies for improving formal verification pipelines Provide expert guidance on proof decomposition, lemma selection, and structuring techniques for formal models Develop highly readable, reproducible proof scripts aligned with mathematical best practices and proof assistant idioms Formalize classical proofs and compare machine-verifiable structures against textbook arguments to reveal deeper patterns or generalizations 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 and mathematical reasoning — across algebra, analysis, topology, logic, d
About Alignerr: part of Labelbox. See the full profile →
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Frequently asked questions
How do I apply for the Applied Formal Methods Researcher (Lean 4) role at Alignerr?
Applications go through Alignerr's own portal - HumanSourcer links to the listing and never collects applications or handles hiring. Alignerr's access model is "Open / self-serve" (Open roles / applications). This listing was first seen here on October 4, 2026 and was still live at the last check.
Is the Applied Formal Methods Researcher (Lean 4) role at Alignerr remote?
Yes - Alignerr lists this role as remote.
What does the Applied Formal Methods Researcher (Lean 4) role at Alignerr pay?
Alignerr lists this role's pay as $170–$200/hr, quoted from the listing rather than estimated.
What kind of work is Applied Formal Methods Researcher (Lean 4)?
Translation / linguistics. AI training, evaluation, coding, writing and specialist review
Is Alignerr a legitimate AI-training platform?
Labelbox expert network - and that relationship is rated "Confirmed" here because it can be checked against labelbox.com rather than taken on Alignerr's word. Confidence describes how well the ownership is evidenced. It is not a rating of how the platform treats the people who work for it, which no public source covers reliably.
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