About this role
**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.