We are looking for a Teleoperation Engineer to sit at the intersection of our operations and engineering teams. In this role, you will train and manage the quality of 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
Teleoperation
Spend significant hands-on time operating our robotic systems directly. Active teleoperation is a core, ongoing part of this role, not an occasional task
Maintain direct proficiency across robotic systems and teleoperation interfaces (VR, joystick, or control rigs)
Set the standard for task execution and demonstration quality through your own operation
Training and 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
Qualifications
Education and Experience
2+ years of professional experience in training, QA, or a technical environment
Completed or in progress technical degree highly preferred (Engineering, Computer Science, Data Science, etc)
Exposure to teleoperation or VR based gaming and control systems is a big plus
Background in a structured, process oriented, or fast paced operational setting
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
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
Compensation & Benefits
Base salary range: USD $60,000-90,000 (actual pay based on skills, experience, and
location)
Skills Required
- 2+ years of professional experience in training, quality assurance, or a technical environment
- Completed or in-progress technical degree, preferably in Engineering, Computer Science, Data Science, or a related field
- Strong communication and documentation skills for technical and nontechnical audiences
- Ability to rigorously assess quality and coach others toward consistency
- Comfort working with digital tools, interfaces, and data-driven workflows
- Basic technical understanding sufficient to work productively with engineering teams
- Exposure to teleoperation or VR-based gaming and control systems
- Experience with teleoperation systems, simulation environments, or robotics platforms
- Familiarity with imitation learning or demonstration data used in robot policy training
- Experience in competitive gaming, esports, or precision controller-based tasks
- 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 Do
Sereact's mission is to drive your economic growth by closing automation gaps in your intralogistics. Our AI software enables machines to perceive their environment and develop solution strategies on their own, thus qualifying them to become autonomous skilled workers. By leveraging embodied AI for robotics, we ensure that our systems not only think but also physically interact with their surroundings in an intelligent manner. Sereact's AI software for autonomous robotics fully automates pick-and-place processes, making them more efficient, reliable and resilient. Our goal is to optimize your supply chain with minimal integration effort to increase productivity in your warehouse from the first pick while significantly reducing costs.
