Teleoperation Trainer (m/f/d)

Kurz zusammengefasst

The Teleoperation Trainer role sits at the crossroads of operations and engineering for a robotics company that creates intelligent systems enabling robots to sense, reason, and act in real‑world industrial environments such as warehouses and factories. The team's mission is to close automation gaps that conventional solutions cannot address, and the trainer will help shape how human operators interact with those systems. Day‑to‑day, the trainer will onboard new teleoperation operators, set consistent standards for task execution, data quality and reporting, and monitor performance across active projects. They will design and refine quality‑assurance processes, keep track of data custody, and produce regular reports and issue investigations. The role also involves creating and updating SOPs, training materials and the operational trackers that support the function, while logging outcomes and cross‑team feedback. A core part of the job is acting as the liaison between the operations crew and the engineering groups developing teleoperation and policy systems. The trainer will surface operator feedback, flag systematic problems, and translate engineering guidance into clear operator instructions. They will identify error patterns, edge cases and inconsistencies, then provide structured, actionable context to engineering teams. Supporting the improvement of data‑collection pipelines and interfaces based on operational insight is also expected. The position requires at least two years of professional experience in training, quality assurance, operations coordination or a comparable technical setting, preferably within a structured, process‑driven or fast‑paced environment. Strong communication and documentation abilities are essential, as is the capacity to assess quality rigorously and coach others toward consistency. Candidates must be comfortable using digital tools, interfaces and data‑driven workflows, and possess a basic technical understanding that enables productive interaction with engineers. No specific degree is mandated. Nice‑to‑have attributes include direct experience with teleoperation systems, simulation environments or robotics platforms, familiarity with imitation learning and how demonstration data feeds robot policy training, and a background in competitive gaming, esports or precision controller tasks that demonstrate spatial awareness. Experience in data annotation, quality assurance pipelines, VR or immersive digital environments, and having worked in a startup are also valued. The company offers flexible hours, remote‑work options, a gym membership, a motivated team, an open culture, competitive pay and strong career development prospects. What the role asks for: - 2+ years experience in training, QA, or operations coordination - Background in structured, process‑driven or fast‑paced settings - Strong communication and documentation skills - Proven ability to assess quality rigorously - Comfortable with digital tools and data‑driven workflows - Basic technical understanding for engineering collaboration - Direct experience with teleoperation or robotics (nice-to-have) - Familiarity with imitation learning or demonstration data (nice-to-have) - Competitive gaming or precision controller experience (nice-to-have) - Experience with VR or immersive environments (nice-to-have)