About the role
About 1X We’re building humanoid robots that work in the home - doing the chores, handling the tasks, and giving people their time back. Simple, but it’s not. To do this right, we have to solve robotics, AI, and manufacturing - at the same time, at scale, in a form factor that has to be safe enough to live with your family. If you’re inspired by this, you’ll thrive here. We’ve been at this since 2014 and we’re at the point where the hard problems are behind us and the hard work is in front of us. NEO is our flagship - a home robot designed to move, learn, and operate in the real world alongside real people. We’re not demoing it - we’re shipping it. We’re excited to meet you, if this excites you. If you’ve spent your career working on problems that matter and want to see them actually reach the world - this is that moment. We’re scaling, we’re hiring with intention, and we need people who want to build something that will genuinely change how humans spend their time - safely creating abundance for all.
About
the Team The World Model Lab builds the learned models of the physical world that let NEO understand its surroundings and act in real homes. Every model we train is capped by the quality of the data behind it - the demonstrations we collect, the annotations we apply, and the real-world evaluations we use to measure progress. This is
the team that turns 1X’s data into intelligence, and this role owns the foundation it all stands on. Your Charter The mission of this role is to own 1X’s data strategy for the World Model Lab - making sure the data flowing into our world models, the annotations applied to it, and the real-world evaluations that measure progress set the bar in robotics. World models are only as good as their data, which puts this role directly on the critical path: you are the single owner accountable for input quality, and that quality determines how fast NEO learns to operate safely in homes. This is a builder’s role for a high-execution Lead PM who is ready to grow into owning strategy end to end - someone who ships first, earns the roadmap, and expands their scope as they go. Key Outcomes Raise the quality of data coming in - Drive measurable improvements in the quality and diversity of data feeding world model training across teleoperation, fleet (NEO), and simulation sources. Raise the quality of annotations - Define the annotation quality bar and build the labeling processes and metrics that make every dataset trustworthy for training. Raise the quality of real-world evaluations - Own the strategy and pipelines for real-world evals so model performance is measured accurately where it matters: in the home. Own data acquisition and sourcing - Set the roadmap for where data comes from and prioritize collection to close the gaps that most limit model performance. Set the data roadmap with research - Translate world model researchers’ needs into a clear, prioritized data plan and drive it to delivery. Key Competencies Drive execution relentlessly, turning ambiguous research needs into shipped pipelines, processes, and tooling. Define and operate quality metrics across data, annotation, and evaluation. Partner deeply with ML researchers and engineers, translating model needs into concrete data
