Teamlead Physical AI Data Operations - RoboGym (human)

As Teamlead Physical AI Data Operations - RoboGym, you’ll lead the team of data operators, the people who are the closest to our robots, and who keep the NEURAGym, our data production factory, up and running.

Your mission & challenges:

• Lead a hands-on team of experienced data operators as well as data operator interns, the latter eager to fully commit and contribute to collecting highest quality data, and to gain close-by experience on cognitive robotics, in the early stage of their future career.
• “Run the shop floor”: contribute to continuously structuring and optimizing the daily processes in the NEURAGym, ensuring and improving data and process quality, as well as documentation and project execution standards.
• Contribute to ensuring data production efficiency by rigorously determining and tracking KPIs to optimize shifting schedules and eliminate blockers in operations, use case and work place design.
• Foster knowledge sharing and awareness of current operations issues and solutions in the team by organizing and owning structured meeting slots during the work day.
• Contribute to hiring and interview processes, including candidate evaluation.
• Act as a point of contact for project stakeholders and leadership.
• In coordination with internal and customer project stakeholders, ensure that the right talents from the data operators staff get deployed to a data collection campaign to drive it to success.
• Be in close alignment and follow robotics and AI development staff on a technical level to be able to understand technical challenges and support solving them by distilling your technical insights into an appropriate hiring and skills development strategy.

What we can look forward to:

• Degree in Engineering, Mechatronics, Robotics, Computer Science, Business, or a related field.
• Experience in managing teams in a production environment.
• Strong stakeholder management and communication skills.
• Ability to coordinate multiple teams and priorities in a fast-paced environment.
• Strong organizational skills and a structured approach to problem-solving.
• Comfortable working with technical topics, even if not directly involved in development.
• Programming experience with C++ and Python, as well as experience with Embedded Computing, real-time operating systems, and networking stacks, are a plus.
• Experience with robotics, AI, automation, or emerging technologies is a plus.
• Fluent in English; German is a plus.