Lean 4 Mathematical Formalization Expert
Alignerr · Remote · Translation / linguistics
Lean 4 Mathematical Formalization Expert 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
- Field
- Science / STEM
- Listed
- Since Oct 4, last confirmed Oct 22
How the pay compares
Higher than 94% of the 117 distinct hourly rates advertised for Science / STEM 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
“Lean 4 Mathematical Formalization Expert (AI Training) About the Role What if your deep expertise in formal mathematics could directly shape how AI reasons, proves, and verifies mathematical truths?”
Show the full listing
Lean 4 Mathematical Formalization Expert (AI Training) About the Role What if your deep expertise in formal mathematics could directly shape how AI reasons, proves, and verifies mathematical truths? We're looking for Lean 4 specialists to translate complex mathematical arguments into precise, machine-checked formalizations — working at the frontier where mathematics meets artificial intelligence. This is a fully remote, flexible contract role built for mathematicians and formal verification experts who want to do genuinely challenging, high-impact work on their own schedule. Organization : Alignerr Type : Hourly Contract Location : Remote Commitment : Flexible — work on your own schedule What You'll Do Formalize mathematical content from natural language sources — textbooks, articles, and exercises — into valid, compilable Lean 4 code Translate theorems, lemmas, propositions, and proofs into precise formal representations using Lean 4 Ensure formal code accurately captures the mathematical meaning and logical structure of the original statements Review and validate Lean 4 formalizations for correctness, consistency, and logical soundness Identify ambiguities, missing assumptions, or logical gaps in informal mathematical descriptions Contribute to high-quality datasets pairing human-written mathematics with formal Lean 4 equivalents for AI training Who You Are Strong hands-on experience with Lean 4 — you write precise, correct, and maintainable code Solid background in mathematics, formal logic, or formal verification Comfortable reading advanced mathematical texts and translating them into formal systems Exceptional attention to detail and a rigorous logical mindset Interested in AI, automated reasoning, and the future of mathematical verification Self-directed and reliable when working independently on complex, open-ended problems Nice to Have Experience with other theorem provers or formal systems (Coq, Isabelle, Agda, Metamath, etc.) Prior involvement in AI train
About Alignerr: part of Labelbox. See the full profile →
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Frequently asked questions
How do I apply for the Lean 4 Mathematical Formalization Expert 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 Lean 4 Mathematical Formalization Expert role at Alignerr remote?
Yes - Alignerr lists this role as remote.
What does the Lean 4 Mathematical Formalization Expert 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 Lean 4 Mathematical Formalization Expert?
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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