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
Your day starts by checking quality dashboards for your assigned workflows — reviewing audit scores, appeal rates, SLA status, and any overnight escalations. You will spend approximately 30% of your time on analysis: reviewing data trends, investigating root causes of quality dips, and creating prescriptive actions for operations teams.
Another 30% goes to stakeholder communication: leading weekly customer meetings, preparing quality reports, and handling escalations. The remaining time is split between process work (updating SOPs, refining audit rubrics, conducting side-by-sides) and calibration activities (aligning audit standards with Senior Quality Auditors and operations teams).
You are measured on: SLA metrics (appeals and batch completion), customer satisfaction, quality improvement trends for your workflows, and documentation quality.
About the team
The Quality Operations team within FAI Data Services ensures that labeled training data meets accuracy and consistency standards before it is used to train Amazon's AI models. Quality Specialists own the quality strategy for assigned workflows, bridging the gap between operations execution and customer expectations.
Basic qualifications
- Bachelor's degree or equivalent- Advanced-level proficiency or C1+ in Telugu language (Strong verbal and written communication skills, with fluency in speaking, listening, and writing.)
- Demonstrated analytical and problem-solving skills with the ability to identify root causes and develop prescriptive actions
- Experience in creating and maintaining process documentation, SOPs, or quality guideline
Preferred qualifications
- Bachelor's degree in a relevant field (e.g., Linguistics, Data Science, Business, or related discipline)- 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
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