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트렌딩 기업

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채용Amazon

Senior Quality Auditor, Artificial General Intelligence

Amazon

Senior Quality Auditor, Artificial General Intelligence

Amazon

Chennai, TN, IND

·

On-site

·

Full-time

·

3w ago

필수 스킬

Go

Machine Learning

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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모의 지원자 수

0

스크랩

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Amazon 소개

Amazon

Amazon

Public

Amazon.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