Data Collection Operations Lead

About the role

REVEL is an AI robotics company developing humanoid robots, based in Prague. Its data engine collects high-quality human demonstrations at scale, and it is looking for a Data Collection Operations Lead to run the day-to-day operation and continuous improvement of its human data-collection pipeline. The role sits at the interface of biomedical engineering, experimental science and robotics, working closely with the sEMG/biomedical and ML/robotics teams. It is a hands-on operational leadership position spent largely on the data-collection floor.

Key responsibilities

• Own the day-to-day operation of the data-collection facility and workstation, and turn experimental protocols into clear, executable SOPs for operators.
• Plan and coordinate collection sessions, staffing, schedules and workstation use, and recruit, onboard and train operators.
• Define standards for sensor setup, participant preparation, protocol execution, data labelling, metadata capture, data quality and equipment handling.
• Monitor quality, throughput, failure rates and operator performance, find sources of bad data and close the feedback loop with biomedical and ML teams.
• Make high-quality data collection repeatable across operators and shifts, and help set realistic capacity targets as the data engine scales.
• Maintain documented SOPs, coordinate protocol changes, and partner with software/ML engineers so the data meets training requirements.

Required profile

• 5+ years of relevant experience in operations, laboratory management, manufacturing, research operations, clinical research or experimental engineering.
• Experience owning a physical workflow end to end and managing multiple people, shifts or parallel activities.
• Strong analytical mindset, attention to detail and comfort working hands-on with wearable/biomedical hardware.
• Professional English and willingness to work on-site in the Czech Republic; relocation and work visa sponsorship offered.

Bonus qualifications

• Biomedical, neuroscience, robotics, clinical-research or human-subject research experience.
• Familiarity with EMG, motion capture, wearable sensors, data annotation or quality-control systems.
• Knowledge of Python, SQL, spreadsheets, continuous-improvement methods or scaling a workflow to high throughput.

What we offer

• Unlimited paid time off.
• On-site work in Prague, with relocation and work visa sponsorship.
• Free lunch every working day, plus coffee, snacks and drinks.
• Conference budget for select roles and support to publish and contribute to open source.