Trace Labs · Remote, United States, US · about 4 hours ago
Trace is building the data marketplace for physical AI.
Physical AI has the potential to transform how work gets done in the real world, from robotics to embodied systems that can see, move, and interact with their environment. But today, progress is constrained by a fundamental limitation: there is no scalable way to collect high-quality, real-world training data. Frontier robotics models are trained on orders of magnitude less data than language models because there is no equivalent of an “internet of robotics data.”
Trace exists to change that.
We build the infrastructure that makes it possible to capture and transform real-world data from humans performing physical work, and turn it into training data for robotics systems, embodied AI models, and other AI systems that operate outside the browser and in the physical world.
If we succeed, we meaningfully accelerate the development of physical AI and expand what these systems can safely and reliably do in the world. Our platform is designed to support many data formats, capture workflows, and customer needs over time. What we capture today is only the starting point.
If you want to be an early hire at a company helping define how robots learn to work, keep reading.
You will be on the front lines of making Trace work in the real world. When data capture launches run cleanly, the company scales. When they do not, everything slows down.
You will own the experience for partners. Everything from onsite onboarding and early success for new capture partners, traveling to partner sites to set up equipment, train workers, and ensure capture sessions run smoothly. Over time, you will turn early complexity into repeatable playbooks and help build the regional launch model that Trace scales on.
Headquarters
Remote, United States
Work Location
remote
Job Category
Operations Management
Application Deadline
Not specified
Job Type
full-time
Experience Level
manager-level
Application Method
Apply via Website
Salary
Not specified
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