**About Preload** Preload builds the data layer for physical AI. Robots learn mostly from video, but human interaction is much richer: touch, force, and muscle activity. We build a wearable multimodal stack (egocentric video, tactile gloves, EMG) to capture how people actually interact with the physical world, and turn it into datasets robotics teams can train on. We're a YC (F26) team of PhD founders from Johns Hopkins and Caltech with backgrounds at Neuralink, Paradromics, and other neurotech companies. **The role** You'll run data collection in the field with our partners, turning our hardware into a reliable, high-volume data operation. **What you'll do** - Run on-site data collection sessions with partners and participants - Set up, calibrate, maintain, and troubleshoot wearable sensors - Recruit, onboard, and coordinate data collectors - Track throughput and data quality; build playbooks to scale collection - Feed field insights back to hardware and software teams **What we're looking for** - 1+ years in field operations, technical support, research operations, or similar - Hands-on and comfortable troubleshooting hardware and software on the fly - Highly organized; good at running repeatable processes with many people - Experience with research studies, data labeling ops, or robotics data collection is a plus - Willing to travel to partner sites **Why join** Early, in-person team in San Francisco.
You'll design how we collect data at scale.
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Preload is a company that provides a platform for managing and optimizing data pipelines.