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© All Rights Reserved. ApplyBlast.com
Labelbox
The Mathematical Formalization Specialist role focuses on converting human-written mathematical arguments into precise, machine-verifiable proofs using Lean and related systems. The position sits at the interface of mathematics and computer science, working with complex proofs that push the limits of current formal verification tools. The specialist contributes to advancing AI reliability by building high-integrity formal proof datasets and exploring where automated provers succeed or fail. The role also involves close collaboration with researchers to refine formal verification strategies and pipelines.
Headquarters
San Francisco, California, United States
Company Size
51-200 employees
Founded
2018
Labelbox is a data labeling and data‑ops platform that helps AI teams "build, operate, and staff" scalable data factories for training machine learning models. It combines a web annotation suite (images, video, LiDAR, and text), workflow and quality controls, data management and metadata tools, plus APIs and integrations to fit into ML pipelines. Alongside the software, Labelbox provides managed labeling services and workforce solutions to scale annotation and maintain label quality. Enterprises use it to accelerate model development, improve label consistency and governance, and operationalize high‑volume labeled data.
PR NewswireLabelbox acquires agentic sales automation startup, Upcraft, to rapidly scale the human expertise powering frontier AI
3 weeks ago
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Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Labelbox.
Labelbox didn’t post a salary, so this is our estimate from similar listings.
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