You'll work directly with the founders and the global ops team, and you'll own problems end to end, from spotting them through shipping the fix and supporting it.
We give wearable cameras to field teams and partners. Each day, they recruit workers, assign devices, pay workers to wear the cameras on the job, collect the devices/SD cards, and upload the footage. At scale, inefficiency, fraud, and human error emerge: devices and SD cards get lost or stolen, devices sit idle, and contributors produce poor-quality data.
Build believes in the Bitter Lesson http://www.incompleteideas.net/IncIdeas/BitterLesson.html. By taking a general approach of learning from humans, our addressable market is all physical labor.
We are a fully in-person team in San Francisco (Financial District) and Shenzhen (Nanshan), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed.
Build AI is the data hyperscaler for Physical AI. We're vertically integrated across hardware, manufacturing, logistics, collection, and model training to scale the physical labor dataset orders of magnitude faster than anyone in the world.
Build AI is an equal opportunity employer. We review every application. If you do not meet every bullet, still apply. Questions: research@build.ai
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