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Data Collection Operations Lead

revel • Czechia
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AI Summary

Own and improve REVEL's human data-collection pipeline for humanoid robot training. Coordinate operators, SOPs, quality control, throughput, and protocol iteration on the data-collection floor. Requires 5+ years of operations, laboratory, manufacturing, research, or comparable hands-on leadership experience.

Key Highlights
Own day-to-day operation and continuous improvement of REVEL's human data-collection pipeline.
Translate experimental protocols into SOPs and coordinate operators, schedules, and workstation utilization.
Enforce standards for sensor setup, participant preparation, protocol execution, labelling, metadata, quality control, and equipment handling.
Monitor quality, throughput, failure rates, and operator performance; identify and eliminate systematic bad-data sources.
Hands-on on-site role in Prague, Czech Republic with 5+ years of relevant operational or research experience.

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Key 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, and 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.
Benefits & Perks
Unlimited Paid Time Off
Work visa sponsorship and relocation coverage
Complimentary lunch, coffee, snacks, and drinks
Top-spec GPU workstation, cluster access, and hands-on robot time
Conference budget and room to publish or contribute to open source where IP allows

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Nice to Have
Experience in a biomedical, neuroscience, biomechanics, robotics, medical-device, clinical-research or human-subject research environment.
Experience collecting data from human participants.
Familiarity with EMG, physiological signals, motion capture, force/torque sensing or wearable sensors.
Experience operating or managing a research/experimental laboratory.
Experience with data annotation or dataset production.
Experience with quality-control systems for experimental or production data.
Familiarity with Python, SQL, spreadsheets, or other tools for operational/data analysis.
Experience with continuous-improvement methodologies.
Experience scaling a workflow from a small number of experiments into a repeatable high-throughput operation.
Experience working with engineers/scientists to translate experimental requirements into operational procedures.

Job Description

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 engineering team in the Czech Republic.

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.

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Job Overview
Posted Nov 03, 2026
Employment Full-time
Experience Mid-Senior level
Location Czechia
Category Programming
Company revel
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