Onboard and train new teleoperation operators, establishing consistent standards for task execution, data quality, and reporting
Monitor and evaluate operator performance and demonstration data quality across active projects
Establish and improve QA processes, and maintain oversight of data custody, tracking, reporting, and issue investigation
Develop and maintain SOPs, training materials, and quality frameworks for teleoperation workflows
Build and maintain the operational systems, trackers, reporting cadences, and documentation the function runs on
Maintain accurate logs of training outcomes, data quality metrics, and cross-team feedback
Act as the primary bridge between the operations team and the engineering team (teleoperation and policy development), surfacing operator feedback, flagging systematic issues, and translating engineering guidance into practical operator instructions
Identify patterns in operator errors, edge cases, and system inconsistencies, and escalate them with structured, actionable context
Support engineering teams in improving data collection pipelines and interfaces based on operational insight
Maintain direct proficiency across robotic systems and teleoperation interfaces (VR, joystick, or control rigs)

2+ years of professional experience in training, QA, operations coordination, or a technical environment
Background in a structured, process-driven or fast-paced operational setting
Strong communication and documentation skills with the ability to convey technical concepts across technical and non-technical audiences
Proven ability to assess quality rigorously and coach others toward consistency
Comfortable working with digital tools, interfaces, and data-driven workflows
Basic technical understanding sufficient to engage productively with engineering teams
Direct experience with teleoperation systems, simulation environments, or robotics platforms (nice to have)
Familiarity with imitation learning or how demonstration data is used in robot policy training (nice to have)
Experience in competitive gaming, esports, or precision controller-based tasks (nice to have)
Background in data annotation, quality assurance, or structured data collection pipelines (nice to have)
Experience with VR systems or immersive digital environments (nice to have)
Experience in a startup environment (nice to have)

Teleoperation Trainer

Key skills