At a Glance
- Tasks: Define quality metrics, analyse data trends, and optimise workflows for top-notch quality.
- Company: Join Amazon, a leader in AI innovation and responsible tech development.
- Benefits: Competitive salary, diverse work culture, and opportunities for growth.
- Other info: Dynamic environment with a focus on continuous improvement and collaboration.
- Why this job: Be part of the AI revolution and make a real impact on quality assurance.
- Qualifications: Fluent in German and English, with experience in quality roles and data analysis.
The predicted salary is between 35000 - 45000 € per year.
AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Quality Specialists play a vital role in establishing and maintaining comprehensive quality frameworks across our operations.
Key job responsibilities:
- Define and implement quality metrics for established workflows
- Create prescriptive actions for quality issues
- Partner with customers, operations and internal support teams to optimize workflow quality
- Conduct side-by-sides to identify opportunities for workflow enhancement and quality improvements
- Analyze data trends and develop solutions
- Monitor quality performance and coach operations teams
- Create and maintain quality metrics reports
- Handle customer escalations and recommendations
- Evaluate and suggest improvements for quality tools
- Support process documentation and implementation
A day in the life:
Primary responsibility begins with developing robust quality strategies in collaboration with customers and CPMs, encompassing metrics, audit approaches, and specific targets for each workflow. When quality issues arise, these specialists create prescriptive actions, examining data patterns to formulate effective solutions. They maintain a continuous improvement cycle by managing a critical feedback loop between operations and customers, drawing insights from multiple sources including quality auditors, side-by-side observations, and metric analysis. Through regular side-by-side sessions, they identify opportunities for workflow enhancement and quality improvements. The specialists serve as key escalation points for customer concerns, providing strategic recommendations based on their deep understanding of processes. They consistently evaluate quality tools, suggesting refinements to enhance effectiveness, while simultaneously maintaining and updating process documentation to ensure standardization and clarity across all workflows. This comprehensive approach ensures quality remains at the forefront of our operational excellence.
Qualifications:
- Speak, write, and read fluently in German
- Advanced-level proficiency in German language (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards)
- Intermediate-level proficiency in English (B2+ or equivalent fluency by CEFR standards)
- 1+ years of experience in a quality assurance, quality control, or data quality role
- 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
- Bachelor's degree in a relevant field (e.g., Linguistics, Data Science, Business, or related discipline)
- Experience applying structured quality methodologies (e.g., DMAIC, 5 Whys, Fishbone/Ishikawa analysis, or Six Sigma principles)
- Experience partnering with cross-functional stakeholders (operations, customers, or program managers) 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
- Proficiency in data analysis tools (e.g., Excel, SQL, or BI tools) to support quality reporting and trend analysis
- Ability to adapt to fast-paced environments with evolving workflows, priorities, and quality targets
- Experience in machine learning data operations, annotation quality, or content review workflows
Data Quality Specialist - German, AGI Data Services - G T Quality in London employer: AI
At Amazon, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Data Quality Specialist in our AGI Data Services team, you will have the opportunity to engage with cutting-edge AI technology while benefiting from comprehensive employee growth programmes and a commitment to diversity and inclusion. Our location provides a vibrant environment where your contributions directly impact the future of human-technology interaction, making your work both meaningful and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Data Quality Specialist - German, AGI Data Services - G T Quality in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Amazon or in the data quality field on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by diving deep into quality metrics and methodologies. Brush up on your knowledge of tools like Excel and SQL, and be ready to discuss how you've used them to solve quality issues in the past.
✨Tip Number 3
Show off your analytical skills! During interviews, be prepared to share specific examples of how you've identified trends and implemented solutions in previous roles. This will demonstrate your problem-solving prowess.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the team and being part of the exciting future at Amazon.
We think you need these skills to ace Data Quality Specialist - German, AGI Data Services - G T Quality in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in quality assurance and data analysis. We want to see how your skills align with the role of a Data Quality Specialist, so don’t hold back!
Show Off Your Language Skills:Since fluency in German is key for this role, be sure to showcase your language proficiency clearly. If you have any certifications or relevant experiences, include them to make your application stand out!
Highlight Your Analytical Skills:We’re looking for someone who can identify trends and develop solutions. Use specific examples from your past work to demonstrate your analytical prowess and problem-solving abilities. Numbers and metrics can really help here!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at AI
✨Know Your Metrics
Before the interview, brush up on quality metrics and KPIs relevant to the role. Be ready to discuss how you've defined and tracked these in your previous positions. This shows you understand the importance of data in maintaining quality.
✨Showcase Your Analytical Skills
Prepare examples that highlight your analytical and problem-solving abilities. Think about times when you identified root causes of quality issues and developed prescriptive actions. This will demonstrate your capability to enhance workflows effectively.
✨Familiarise Yourself with Quality Methodologies
Make sure you’re well-versed in structured quality methodologies like DMAIC or Six Sigma principles. Be prepared to discuss how you've applied these frameworks in past roles to improve quality processes.
✨Communicate Effectively in German and English
Since fluency in German is crucial, practice articulating your thoughts clearly in both German and English. You might be asked to explain complex concepts in both languages, so being comfortable switching between them will give you an edge.
