About REVEL

REVEL is an AI robotics company developing physical intelligence for general-purpose humanoid robots. We capture the force, dexterity and intent of human work with our Neural Gambit wearable, and use it to train RAI, the intelligence that powers our robots. Our R&D and engineering facilities are in Prague, Czech Republic. This role is on-site with our team in Prague.

The role

The LEGO data engine is how REVEL generates high-quality human demonstrations at scale. We are looking for a Data Collection Operations Lead to own the day-to-day operation and continuous improvement of our human data-collection pipeline.

You will work at the interface between biomedical engineering, experimental science and robotics. Working closely with the sEMG/biomedical engineering and ML/robotics teams, you will translate experimental protocols into reliable operational processes, coordinate data-collection operators, maintain high standards of data quality, and continuously improve throughput.

This is a hands-on operational leadership role. You will spend significant time on the data-collection floor, not only managing from a desk.

Responsibilities

Own day-to-day operation of REVEL's human data-collection facility/workstation.

Translate experimental protocols developed with biomedical/robotics scientists into clear, executable SOPs for operators.

Plan and coordinate data-collection sessions, staffing, participant/operator schedules and workstation utilization.

Recruit, onboard and train data-collection operators.

Define and enforce standards for:

sensor/wearable setup

participant preparation

protocol execution

data labelling

metadata capture

data-quality control

equipment handling.

Monitor data quality, throughput, failure rates and operator performance using appropriate operational metrics.

Identify systematic sources of bad data and work with the engineering/science team to eliminate them.

Own the feedback loop between the data-collection floor and the biomedical/ML teams.

Coordinate rapid iteration of collection protocols when experimental requirements change.

Develop processes that make high-quality data collection repeatable across operators and across shifts.

Troubleshoot operational, hardware and workflow problems and coordinate escalation to engineering when necessary.

Maintain documentation and version control of collection SOPs and operational procedures.

Ensure that changes to protocols are consistently communicated and implemented.

Build processes for identifying and rejecting low-quality recordings before they enter downstream ML pipelines.

Help establish realistic capacity and throughput targets as the data engine scales.

Drive continuous improvement in quality, throughput, reproducibility and operator efficiency.

Partner with software/ML engineers to ensure that the data produced by the operation meets downstream training requirements.

Requirements

5+ years of relevant professional experience in operations, laboratory management, manufacturing/production, research operations, clinical research, experimental engineering or a comparable hands-on environment.

Demonstrated experience owning a physical workflow from end to end, rather than only performing individual tasks.

Experience managing or coordinating multiple people, shifts, sessions or parallel activities.

Strong ability to create and enforce standard operating procedures.

Strong analytical mindset: able to use operational and quality metrics to identify problems and make decisions.

Exceptional attention to detail and a strong instinct for data quality and experimental consistency.

Comfortable working hands-on with wearable/biomedical hardware and technical equipment.

Strong communication skills and ability to work effectively with scientists, engineers and non-technical operators.

Comfortable operating in an environment where protocols and workflows are continuously changing and improving.

Strong organizational and time-management skills.

Professional working proficiency in English.

Willingness to work on-site in the Czech Republic.