Teleoperation Trainer (m/f/d)
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- Work arrangement
- onsite
- Employment
- FullTime
- Stated compensation
- Not specified
- Stated sponsorship
- Not stated
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Requirements
2 with evidence7 unclear or unstated- Remote policy
- onsite
“Provider workplace type: onsite”
From employer posting metadata - Minimum experience (years)
- 2
“2+ years of professional experience in training, QA, operations coordination, or a technical environment”
See matched passage in original description ↓ - Employment type
- FullTime
8 fields not stated in this posting
- Employer sponsorship
- Not specified
- Geographic scope
- Not specified
- Degree requirement
- Not specified
- Security clearance
- Not mentioned
- Timezone / hours
- Not specified
- Citizenship requirement
- Not mentioned
- Work authorization
- Not specified
- Compensation
- Not specified
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Original job description
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Who We Are
We build the intelligence that lets robots sense, reason, and act in the real world, moving beyond the lab and into everyday industrial settings like warehouses and factories. Our technology closes the automation gaps that traditional systems can't solve. We are on a mission to redefine how physical work gets done, and we're looking for curious, bold thinkers to help shape the future of robotics with us.
Overview
We are looking for a Teleoperation Trainer to sit at the intersection of our operations and engineering teams. In this role, you will train and quality-manage a team of teleoperation operators, establish and maintain data collection standards, and act as the critical bridge between project management and the technical teams developing our teleoperation and policy systems. You will maintain direct teleoperation proficiency and translate operational insight into actionable engineering feedback, and vice versa. This role starts hands-on and grows in scope and ownership as we scale.
Your Responsibilities
Training & Quality Management
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
Cross-Team Coordination
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
Teleoperation
Maintain direct proficiency across robotic systems and teleoperation interfaces (VR, joystick, or control rigs)
Qualifications
Education and Experience
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
No specific educational requirement
Skills
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
Additional Skills / Nice to Have
Direct experience with teleoperation systems, simulation environments, or robotics platforms
Familiarity with imitation learning or how demonstration data is used in robot policy training
Experience in competitive gaming, esports, or precision controller-based tasks; strong spatial awareness and input consistency are directly applicable
Background in data annotation, quality assurance, or structured data collection pipelines
Experience with VR systems or immersive digital environments
Experience in a startup environment
What We Offer:
Wellpass (gym membership)
Flexible working hours
Option to work from home when needed
A motivated team and an open corporate culture
Competitive compensation and excellent career development opportunities
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