Teamlead Physical AI Data Operations - RoboGym (human)

Neura Robotics; Nordrhein-Westfalen; On-site; EUR 90,000 - 120,000; Full time

Job summary

Neura Robotics seeks a Teamlead Physical AI Data Operations for RoboGym. You will lead a hands-on data-ops team, manage daily processes, and ensure data quality across campaigns. You will collaborate with robotics/AI teams and stakeholders to shape hiring and skills development strategies.

The role requires leadership in a production-like setting, strong communication, and practical programming knowledge in C++ and Python. English is essential, German a plus.

Qualifications

• Degree in Engineering, Mechatronics, Robotics, Computer Science, Business, or 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 with technical topics, even if not directly involved in development.

Responsibilities

• Lead a hands-on team of data operators and interns, focused on high-quality data collection in cognitive robotics.
• Run the shop floor by structuring and optimizing daily processes, data quality, and project standards.
• Track KPIs to improve scheduling and eliminate blockers in operations.
• Organize structured meetings to share knowledge and resolve issues.
• Assist in hiring and interview processes, including candidate evaluation.
• Act as a point of contact for project stakeholders and leadership.
• Coordinate talent deployment for data collection campaigns with internal and customer teams.
• Align with robotics and AI staff to translate technical insights into hiring and skills development strategies.

Skills

Team leadership

Stakeholder management

Project coordination

Organizational skills

Communication

C++

Python

Embedded systems

RTOS

English fluency

Education

Engineering degree

Mechatronics degree

Robotics background

Job description

Give Our Robots Consciousnes

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 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.