Senior Quality Auditor, Artificial General Intelligence

Amazon Amazon · Big Tech · IN, TN +1 · Corporate Operations

This role focuses on auditing and ensuring the quality of machine learning data workflows. The Senior Quality Auditor will become an expert in specific workflows, lead teams of auditors, execute complex audits, and provide analysis and insights for optimization. The role requires hands-on audit execution and leadership experience in technical domains.

What you'd actually do

  1. Become the organization's deepest expert on 1-2 assigned complex workflows through intensive pilot participation and continuous learning
  2. Lead QuAD teams of 3-5 Quality Auditors for Template 2 (High-Engagement Support) workflows
  3. Execute audits on the most ambiguous and complex scenarios, reducing escalations to Quality Specialists
  4. Generate workflow-specific deep dives and thematic analysis providing insights beyond conventions adherence scores
  5. Provide input to audit strategy design led by Quality Specialist I

Skills

Required

  • 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

Nice to have

  • 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

What the JD emphasized

  • machine learning data workflows
  • hands-on audit execution
  • workflow optimization

Other signals

  • machine learning data workflows
  • quality analysis
  • workflow optimization