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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. Come build the future of human-technology interaction with us. We are looking for those candidates who just don't think out of the box, but make the box they are in 'Bigger'. The future is now, do you want to be a part of it? Then read on! Quality Specialists play a vital role in establishing and maintaining comprehensive quality frameworks across our operations.
Job Responsibility
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
Requirements
Speak, write, and read fluently in French
Advanced-level proficiency in French 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
Nice to have
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