Labelbox
The Mathematical Formalization Specialist at Alignerr focuses on converting human-written mathematical proofs into precise, machine-verifiable formalizations, primarily using Lean and related proof systems. The role operates at the intersection of mathematics and computer science, working on proofs that push the limits of current automated provers. The specialist collaborates with researchers to refine formal verification pipelines and contributes to advancing mechanized mathematics. This position emphasizes mathematical rigor, structural clarity, and exploration of the boundaries of formal proof systems.
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.
Labelbox acquires agentic sales automation startup, Upcraft, to rapidly scale the human expertise powering frontier AI
3 weeks ago
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AI training companies are raising billions to get humans to teach chatbots. Here are the startups cashing in.
Sep 25, 2025
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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