Physical AI can't be trained on internet data alone. Robots need to learn skills in the real world — by observing, interacting with, and operating in real environments. That's the idea behind NEURA Gym: a global network of physical training centers where robots learn industrial tasks/skills directly from experienced human operators/ the people who know these processes inside out.
As Group Lead 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.
- 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.
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