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# Data Quality Coordinator

- **Company:** Agile Robots Ag
- **Location:** München, Germany
- **Contract:** Permanent contract
- **Skills:** Training Data, Artificial Intelligence, Machine Learning, Information Technology, Data Generation
- **Published:** July 22, 2026
- **Apply:** https://www.adzuna.de/details/5808218596

## About the Role

* 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.

## Description

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., * 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.


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