Careers at Hub
Build the real-world data behind embodied AI.
Robot foundation models learn physical behavior from human demonstration, and real-world data is the bottleneck. Join a small team working directly with the founders to remove it.
Open roles
6 open rolesEngineering
Operations
Marketing
Careers
Capturing physical experience for embodied AI
Our mission is to bring embodied AGI closer through real-world data and research. We provide training data to frontier AI labs and robotics companies: egocentric RGB-D, teleoperation, hand-tracking and tactile datasets, captured, enriched, annotated and quality-checked in-house, end to end.
Our global network includes 150,000+ active contributors and 730+ commercial sites across 150 countries, running on platforms we build ourselves rather than assembled SaaS. We are based in San Francisco, backed by Y Combinator, and our team is spread across SF and Europe.
We keep our core team small by design. You will work directly with the founders and own systems, deals or operations end to end. Compensation, location and language requirements differ by role and are listed on each job.
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Own it end to end
Every role owns its domain completely, whether that is deals, features, accounts, campaigns or processes. Accountability is high, and so is the room to shape how things are done.
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Tokenmaxxing
Uncapped frontier models and fleets of agents let a small team produce the output of a much larger org. Everyone, not just engineers, runs agentic workflows daily, with shared skills and a knowledge base.
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No black boxes
We communicate constantly and proactively through Slack, huddles and short stand-ups. Urgent issues get handled immediately, not when it is convenient.
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A higher bar
We blend Y Combinator and SF high-performance culture with European roots, and we hold ourselves to a higher bar than anyone else would set for us.
Open roles
Help us build the data layer for physical AI.
Browse our open roles in engineering, sales, marketing and operations, and apply to the one where you can own the most.
