R

Revel Robotics

Builds data infrastructure for humanoid robots

Data Collection Operations Lead

Business OperationsConfirmed live in the last 24 hours
Full-timePrague, CzechiaNo salary listed

About the Job

Requirements

  • At least 5 years of relevant professional experience in operations, laboratory management, manufacturing or production, research operations, clinical research, experimental engineering, or a comparable hands-on environment.
  • Demonstrated experience owning a physical workflow end to end rather than only performing individual tasks.
  • Experience managing or coordinating multiple people, shifts, sessions, or parallel activities.
  • Ability to create and enforce standard operating procedures.
  • Ability 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.
  • Comfort working hands-on with wearable or biomedical hardware and technical equipment.
  • Professional working proficiency in English.
  • Willingness to work on-site in the Czech Republic.

Responsibilities

  • Own the day-to-day operation of REVEL's human data-collection facility and workstation.
  • Translate experimental protocols developed with biomedical and robotics scientists into clear, executable standard operating procedures for operators.
  • Plan and coordinate data-collection sessions, staffing, participant and operator schedules, and workstation utilization.
  • Recruit, onboard, and train data-collection operators.
  • Define and enforce standards for sensor and 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 and science team to eliminate them.
  • Own the feedback loop between the data-collection floor and the biomedical and machine-learning teams.
  • Coordinate rapid iteration of collection protocols when experimental requirements change.
  • Develop processes that make high-quality data collection repeatable across operators and shifts.
  • Troubleshoot operational, hardware, and workflow problems and coordinate escalation to engineering when necessary.
  • Maintain documentation and version control of collection standard operating procedures and operational procedures.
  • Ensure changes to protocols are consistently communicated and implemented.
  • Build processes for identifying and rejecting low-quality recordings before they enter downstream machine-learning 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 and machine-learning engineers to ensure the data produced by the operation meets downstream training requirements.

Desired Qualifications

  • Experience in a biomedical, neuroscience, biomechanics, robotics, medical-device, clinical-research, or human-subject research environment.
  • Experience collecting data from human participants.
  • Familiarity with electromyography, physiological signals, motion capture, force/torque sensing, or wearable sensors.
  • Experience operating or managing a research or 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 or 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 and scientists to translate experimental requirements into operational procedures.

About the Company

Revel Robotics

Builds data infrastructure for humanoid robots

REVEL Robotics builds a data infrastructure and hardware stack to train humanoid robots for real-world tasks. It creates high-fidelity digital twins from partner manufacturers’ tools and appliances and uses NVIDIA Isaac Sim to run large-scale, domain-randomized simulations; its Neural Gambit wearable captures force, dexterity, and intent to train its RAi model and robotic hands. Unlike general robotics vendors, it focuses on translating human skill into scalable machine capability by pairing data, software, and hardware for B2B access to robotics developers. Its goal is to alleviate skilled-labor shortages in manufacturing, skilled trades, and logistics by teaching robots practical, real-world tasks through embodied AI.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Palo Alto, CA
Founded
2025

Recently Posted Jobs

Explore more opportunities at Revel Robotics

See more jobs