Teleoperation Trainer (m/f/d)
- Role
- Operations
- Experience
- Mid
- Employment
- Full-time
Open to DE only. Set where you work from to check your eligibility.
No BS summary
Trainer/QA operations person with 2+ years in training, QA, operations coordination, or a technical environment. Must be Germany-based and comfortable with digital tools, data-driven workflows, robotics teleoperation interfaces, and translating operator feedback into engineering input.
Optional skills
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
What you'll do
- 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, 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 such as VR, joystick, or control rigs
What they require
- 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
- 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
- Preferred: Direct experience with teleoperation systems, simulation environments, or robotics platforms
- Preferred: Familiarity with imitation learning or how demonstration data is used in robot policy training
- Preferred: Experience in competitive gaming, esports, or precision controller-based tasks; strong spatial awareness and input consistency are directly applicable
- Preferred: Background in data annotation, quality assurance, or structured data collection pipelines
- Preferred: Experience with VR systems or immersive digital environments
- Preferred: Experience in a startup environment
Benefits
- Wellpass gym membership
- Flexible working hours
- Option to work from home when needed
- A motivated team and an open corporate culture
- Competitive compensation
- Excellent career development opportunities
Sereact develops intelligence that enables robots to perceive, understand, and act in the real world beyond the lab and in industrial everyday environments such as warehouses and factories.