Location
London

Hours
Full Time

Salary
Competitive salary based on experience

About the Role
Artificial Intelligence is one of the most transformational technologies of our time, capable of addressing some of humanity's most challenging problems. Amazon is heavily investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Join us to help build the future of human-technology interaction.

As a Data Quality Specialist, you will play a vital role in establishing and maintaining comprehensive quality frameworks across our operations. Your responsibilities will include defining and implementing quality metrics for established workflows, creating prescriptive actions for quality issues, and partnering with customers, operations, and internal support teams to optimize workflow quality.

You will conduct side-by-side sessions to identify opportunities for workflow enhancement and quality improvements, analyze data trends to develop solutions, monitor quality performance, and coach operations teams. Additionally, you will create and maintain quality metrics reports, handle customer escalations and recommendations, evaluate and suggest improvements for quality tools, and support process documentation and implementation.

Your day-to-day work involves developing robust quality strategies in collaboration with customers and program managers, managing a continuous improvement cycle through critical feedback loops, and serving as a key escalation point for customer concerns. You will also evaluate quality tools and maintain process documentation to ensure standardization and clarity across all workflows. This comprehensive approach ensures quality remains at the forefront of our operational excellence.

Experience
- Minimum 1 year of experience in quality assurance, quality control, or data quality roles
- Experience defining, tracking, and reporting quality metrics or KPIs
- Strong analytical and problem-solving skills with the ability to identify root causes and develop prescriptive actions
- Experience working with data to identify trends, patterns, and quality issues
- Ability to create and maintain process documentation, SOPs, or quality guidelines

About you
- Fluent in German (C1+ or equivalent fluency by CEFR standards) including speaking, writing, and reading
- Intermediate proficiency in English (B2+ or equivalent fluency by CEFR standards)
- Ability to adapt to fast-paced environments with evolving workflows, priorities, and quality targets
- Strong collaboration skills with experience partnering with cross-functional stakeholders to drive quality improvements
- Demonstrated ability to build or improve quality frameworks, audit processes, or feedback loops
- Experience coaching or providing quality feedback to operations or associate-level teams

Qualifications
- Bachelor's degree in a relevant field such as Linguistics, Data Science, Business, or related discipline preferred
- Experience applying structured quality methodologies (e.g., DMAIC, 5 Whys, Fishbone/Ishikawa analysis, or Six Sigma principles) preferred
- Proficiency in data analysis tools (e.g., Excel, SQL, or BI tools) to support quality reporting and trend analysis preferred
- Experience in machine learning data operations, annotation quality, or content review workflows is an advantage