채용
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
- 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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Amazon 소개

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
직원 수
Seattle
본사 위치
$1.5T
기업 가치
리뷰
2.9
10개 리뷰
워라밸
2.8
보상
3.7
문화
2.5
커리어
2.3
경영진
2.1
35%
친구에게 추천
장점
Good pay and compensation
Strong benefits package
Flexible scheduling options
단점
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
연봉 정보
4개 데이터
L2
L3
L4
L5
L6
L2 · Venture Capitalist L2
0개 리포트
$154,235
총 연봉
기본급
$61,694
주식
$77,118
보너스
$15,424
$107,965
$200,506
면접 경험
10개 면접
난이도
3.7
/ 5
소요 기간
21-35주
합격률
20%
경험
긍정 10%
보통 10%
부정 80%
면접 과정
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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