Overview
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.
Full job description
About The Role
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.
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.
Qualifications And Requirements
- 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.
Requirements & qualifications
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Experience with robotics, AI, or machine learning data collection.
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Experience writing SOPs, work instructions, or quality documentation.
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Experience training operators or technical staff.
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Familiarity with data annotation or dataset quality management.
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Understanding of robotics workflows and robot learning pipelines.
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Bachelor's degree in Robotics, Engineering, Computer Science, Industrial Engineering, Quality Management, or a related field.
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Experience working with structured operational processes, quality assurance, or technical operations.
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Strong analytical skills with the ability to identify quality issues and recommend process improvements.
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Excellent organizational skills with experience developing documentation and standardized procedures.
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Strong communication skills and experience working across technical and operational teams.
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Experience coordinating training, documentation, or operational workflows.
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