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Sereact

Teleoperation Trainer (m/f/d)

Sereact is hiring a Teleoperation Trainer (m/f/d) for a remote role open to applicants in Germany. Level rates it ; you can apply on Sereact.

Level's read on this job

  • Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • The posting lists this role as remote.
  • Tools and skills the posting cites include Vr, Joystick and AI data labeling.
  • Level classifies it as a mid-level role.
  • Level lists 42 other open roles at Sereact.

AI in this role

Train teleoperation operators, manage data collection standards, and bridge operations with robotic policy development teams.

VrJoystick
ai-data-labelingteleoperationroboticsquality-assurancetraining

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

How we rate this

Teleoperation Trainer (m/f/d) at Sereact rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI Data LabelingTeleoperationRoboticsQuality AssuranceTrainingVrJoystick

Questions you could be asked

  1. How do you keep labeling instructions consistent across a large annotation team?
  2. Tell me about a project where teleoperation was part of your work. What did you do?
  3. Tell me about a project where robotics was part of your work. What did you do?
  4. Tell me about a project where quality assurance was part of your work. What did you do?
  5. Tell me about a project where training was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI Data Labeling, Teleoperation, Robotics, Quality Assurance, and Training. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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