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Amazon Senior Quality Auditor, Artificial General Intelligence in Chennai, TennesseeIndia

Description

The Senior Quality Auditor serves as a specialist who becomes the organization's deepest expert on 1-2 complex machine learning data workflows while maintaining hands-on audit execution. This role within the Machine Learning Data Operations job family leads Quality Audit Design (QuAD) teams for high-complexity workflows, handles the most ambiguous audit scenarios, and generates workflow-specific quality analysis that drives customer insights and workflow optimization.

Key job responsibilities

Workflow Expertise Development

  • Become the organization's deepest expert on 1-2 assigned complex workflows through intensive pilot participation and continuous learning

  • Participate in workflow pilots as an annotator to build foundational knowledge before production begins

  • Develop comprehensive understanding of workflow conventions, edge cases, and quality requirements

Team Leadership

  • Lead QuAD teams of 3-5 Quality Auditors for Template 2 (High-Engagement Support) workflows

  • Provide day-to-day leadership and make real-time quality decisions during iteration phases

  • Handle escalations from team members and serve as the go-to expert for workflow-specific questions

  • Mentor and develop Quality Auditor team members through coaching, feedback, and knowledge sharing

Audit Execution

  • Execute audits on the most ambiguous and complex scenarios, reducing escalations to Quality Specialists

  • Maintain 60-70% hands-on audit execution to preserve expertise required for real-time decision-making

  • Validate team audit decisions and ensure consistency across QuAD team members

  • Support Template 1 workflows by auditing high-complexity scenarios requiring specialized judgment

Analysis & Insights

  • Generate workflow-specific deep dives and thematic analysis providing insights beyond conventions adherence scores

  • Identify error patterns, convention evolution, and areas of ambiguity within assigned workflows

  • Provide actionable recommendations for workflow optimization and quality improvement

  • Partner with DSLs and customers on workflow-specific quality insights

Strategic Collaboration

  • Provide input to audit strategy design led by Quality Specialist I

  • Collaborate with Quality Specialists on cross-workflow patterns and tactical improvements

  • Participate in workflow design discussions with customers and stakeholders

  • Support new-tool onboarding for operationalized and bootstrapped interfaces

  • Track record of generating actionable insights from quality data.

Basic Qualifications

  • Bachelor's degree or equivalent

  • 2+ years of equivalent experience

  • Experience working with machine learning data workflows or similar technical domains

  • Hands-on experience in leadership and mentoring

  • Strategic thinking about workflow optimization and process improvement

  • Effective stakeholder communication skills with the ability to influence decision-makers and customers

  • Domain expertise in STEM, language, or technical domains highly valued.

Preferred Qualifications

  • Experience with explainable machine learning and artificial intelligence methodologies and tools

  • Experience in leadership roles, overseeing teams conducting data analysis, process improvements, creative problem solving, and cross-functional collaboration

  • Experience using data and metrics to drive actionable insights at scale

  • Experience that includes strong analytical skills, attention to detail, and effective communication abilities

  • Experience handling administrative details independently, while exercising good judgment in keeping team members adequately informed

  • Familiarity with audit methodologies and quality frameworks

  • Experience participating in pilot phases and workflow development

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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