Data Quality Specialist - French, Agi Data Services - G T Quality

Amazon Amazon · Big Tech · Gdansk, Poland · Editorial, Writing, & Content Management

This role focuses on establishing and maintaining quality frameworks for AI data services, defining quality metrics, analyzing data trends, and partnering with teams to optimize workflow quality. It involves creating prescriptive actions for quality issues and evaluating quality tools. While the company is involved in generative AI, this specific role is centered on data quality assurance and process improvement, not direct AI/ML model development or research.

What you'd actually do

  1. Define and implement quality metrics for established workflows
  2. Create prescriptive actions for quality issues
  3. Partner with customers, operations and internal support teams to optimize workflow quality
  4. Conduct side-by-sides to identify opportunities for workflow enhancement and quality improvements
  5. Analyze data trends and develop solutions

Skills

Required

  • 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