Trace Labs · United States, US · about 9 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 find and sign new capture partners (for example industrial and home services companies) who get paid by Trace in exchange for access to multimodal data, such as video showing how real work gets done. Trace compensates workers and partner organizations for participating in data capture.
This is a full-cycle partner acquisition role. You own the relationship from first outreach through signed agreement, then hand off to the onsite onboarding and operations team.
The pitch is unusual, which means you will run discovery, handle skepticism, and work directly with the founders to refine messaging, offers, and target segments. This is not a “read the script and grind” role. You will help build the supply acquisition motion from scratch.
Headquarters
United States
Work Location
on-site
Job Category
Not specified
Application Deadline
Not specified
Job Type
full-time
Experience Level
manager-level
Application Method
Apply via Website
Salary
Not specified
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