About Relling

Data and infra for world models

Tech description:

Job description:

We’re looking for a high-agency operator who thrives on solving messy problems and can own end-to-end execution around data, cameras, logistics, and systems. This is not a narrow role. You’ll be at the center of making our data engine run—figuring out how to source, capture, move, and structure multimodal data that powers world models. ### What You’ll Do * Data Capture & Logistics * Manage the acquisition, setup, and deployment of specialized camera rigs, sensors, and supporting equipment. * Coordinate shipping, sourcing, and vendor relationships (from local suppliers to global OEMs). * Process Design & Execution * Develop repeatable procedures for data collection and annotation. * Document and refine workflows that keep quality high while scaling. * Problem Solving in the Wild * Rapidly troubleshoot hardware, software, or logistical blockers—whether that’s debugging a capture pipeline or figuring out how to get 200 cameras through customs. * Handle one-off operational challenges with creativity and speed. * Cross-Team Support * Work closely with engineering and research teams to understand what data they need and make it happen. * Act as the connective tissue across hardware, software, and logistics. ### What We’re Looking For * Extreme Ownership: You don’t wait for instructions—you find the problem and fix it. * Resourcefulness: You can figure out how to source rare equipment, negotiate with vendors, or design new workflows from scratch. * Systems Thinking: You see the patterns in messy processes and turn them into repeatable playbooks. * Technical Comfort: Not a researcher or SWE, but comfortable handling data formats, running scripts, and working with engineers. * Bias to Action: You get things done quickly and learn by doing. ### Why Join This isn’t a back-office operations job. You’ll be at the frontlines of building the world’s most advanced datasets—the kind that power humanoid robots, AR systems, and next-gen world models. It’s a role built for someone who thrives in uncertainty, wants their fingerprints on frontier AI/robotics datasets, and is hungry to grow into leading a world-class operations team.

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