Group Lead Data Operations - RoboGym (Mensch)

The role

You will lead the team of Data Operators who collect high-quality training data for robots at NEURA Gym. You will also run daily processes, set KPIs and manage stakeholder communication.

What you will do

• Lead a practical team of experienced Data Operators and Data Operator interns
• Structure and optimize the daily processes at NEURAGym, the data production facility
• Ensure and improve data quality, process quality, documentation and project execution standards
• Define and track KPIs to optimize shift plans and remove blockers in operations, use cases and workplace setup
• Organize structured knowledge-sharing meetings during the working day
• Take part in recruiting and interviews, including candidate assessment
• Serve as contact for project stakeholders and senior management
• Make sure the right Data Operators are assigned to each data collection campaign, in coordination with internal and customer stakeholders
• Work closely with Robotics and AI Development teams and apply technical insights to recruiting and skills development strategy

Required qualifications

• Degree in engineering, mechatronics, robotics, computer science, business or a related field
• Experience leading teams in a production environment
• Strong stakeholder management and communication skills
• Ability to coordinate several teams and priorities in a dynamic environment
• Strong organizational skills and a structured approach to problem solving
• Comfortable with technical topics, even without direct involvement in development
• Fluent English

Nice to have

• Programming experience in C++ and Python
• Experience with embedded computing, real-time operating systems and networking stacks
• Experience with robotics, AI, automation or new technologies
• German language skills

About the company

NEURA Gym is a global network of physical training centers where robots learn industrial tasks directly from experienced human operators. The company works on Physical AI, which needs real-world learning rather than internet data alone.