The Data Quality Coordinator is responsible for defining, maintaining, and continuously improving the operational processes that ensure high-quality robotics training data. Working closely with engineering teams and data collection operators, this role translates technical requirements into clear execution standards, develops training programs, evaluates operator performance, and drives continuous improvements to data collection quality. The role serves as the bridge between development and operations to ensure consistent, high-quality data generation.
Data Quality Coordinator (m/f/d)
Germany, Munich (HQ)
Full-time
Permanent employee
About the role
Your Responsibilities
- Collaborate with development teams to understand new robotics use cases and define data collection requirements that maximize model performance.
- Translate technical requirements into clear quality standards, execution guidelines, and Standard Operating Procedures (SOPs) for operators.
- Develop, maintain, and version data collection documentation and operational procedures.
- Design and deliver operator training programs to ensure consistent execution of collection tasks.
- Review collected data and operator performance against defined quality standards, identifying deviations and improvement opportunities.
- Monitor quality trends, operator consistency, and collection performance, driving initiatives to improve acceptance rates and overall data quality.
- Collaborate with engineering teams to refine quality requirements and support the development of automated quality validation tools.
- Drive continuous improvement of data collection processes through structured feedback and operational best practices.
Beneficial Skills
- Experience with robotics, AI, or machine learning data collection.
- Experience writing SOPs, work instructions, or quality documentation.
- Experience training operators or technical staff.
- Familiarity with data annotation or dataset quality management.
- Understanding of robotics workflows and robot learning pipelines.
Your Profile
- Bachelor's degree in Robotics, Engineering, Computer Science, Industrial Engineering, Quality Management, or a related field.
- Experience working with structured operational processes, quality assurance, or technical operations.
- Strong analytical skills with the ability to identify quality issues and recommend process improvements.
- Excellent organizational skills with experience developing documentation and standardized procedures.
- Strong communication skills and experience working across technical and operational teams.
- Experience coordinating training, documentation, or operational workflows.
What we offer
- A dynamic high-tech company combined with financial soundness and world-class investors.
- Join an interdisciplinary, international team with 60+ different nationalities in a collaborative work environment.
- Lots of development opportunities in the context of our continued growth.
- Challenging tasks and impactful projects alongside experts that enable professional and personal growth.
- Corporate Benefits Program that covers health, mobility, and learning with 100€ net per month.
- Modern office facilities with a rooftop terrace overlooking Munich, free drinks & fruits, and regular company events contribute to a good working environment.
Über uns
Agile Robots SE is an international high-tech company based in Munich, Germany with a production site in Kaufbeuren and more than 2300 employees worldwide. Our mission is to bridge the gap between artificial intelligence and robotics by developing systems that combine state-of-the-art force-moment-sensing and world-leading image-processing technology. This unique combination of technologies allows us to provide user-friendly and affordable robotic solutions that enable intelligent precision assembly.
This is made possible by our employees, who bring out the best in each and every day with creativity and enthusiasm. Become part of this team and shape the future of robotics with us!
We are proud of our diversity and welcome your application regardless of gender and sexual identity, nationality, ethnicity, religion, age, or disability.