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The Trainer & Quality Auditor is a dual-function role responsible for designing and delivering training programs while conducting quality audits to assess performance and drive continuous improvement. This role bridges learning and operations — using audit findings and data analysis to identify gaps, recommend targeted interventions, and measure the effectiveness of training solutions.
Key job responsibilities
Design and deliver instructor-led training programs for new hires and tenured employees, ensuring content aligns with accuracy, performance goals, and operational standards
Conduct quality audits per cycle, evaluating interactions against defined standards and documenting findings with structured, actionable feedback
Analyze audit data to identify performance gaps, root causes, and systemic issues — translating insights into targeted interventions such as refresher training, job aids, coaching guides, or process clarifications
Track intervention effectiveness using key metrics — FCR, NRR, and initiated call rates — and prepare narrative-style performance reports that highlight trends, patterns, and the measurable impact of interventions on team performance
Present findings and recommendations to stakeholders in a clear, concise format
Participate in calibration sessions to ensure audit consistency and contribute to the development of quality frameworks and training standards
Support the exploration of AI-assisted auditing tools to scale quality coverage across multiple languages
Demonstrate agile support through cross-functional collaboration and quick response to emerging quality and training needs across teams
Provide hands-on operational support during peak periods or critical business needs, including direct case processing when required
Basic Qualifications
- Completed a Bachelor's Degree
- Background in Accounts Receivable and/or Accounts Payable is required
- 2+ years of experience in communication programming and projects
- 3+ years of experience in a Training and Quality role
- Excellent written and verbal communication skills
- Demonstrated ability to plan, organize, and execute learning interventions and projects from concept to completion
- Proven track record in creating process improvement projects or interventions
- Proficient in MS Office
Preferred Qualifications
- Subject matter expertise in Finance and Accounting processes
- Excellent root cause analysis skills
- Familiarity with quality audit tools or learning management systems (LMS)
- Experience with financial systems (Oracle Financials, SAP, or other ERP
- tools)
- Experience working with multi-cultural, multi-national teams
- Excellent organizational and time-management skills
- Experience in AI products and solutions
- Exposure to AI-assisted quality or language analysis tools is a plus
- Flexible in schedule and work load
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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About Amazon

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+
Employees
Seattle
Headquarters
Reviews
2.9
10 reviews
Work Life Balance
2.8
Compensation
3.7
Culture
2.5
Career
2.3
Management
2.1
35%
Recommend to a Friend
Pros
Good pay and compensation
Strong benefits package
Flexible scheduling options
Cons
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
Salary Ranges
2 data points
L2
L3
L4
L5
L6
L2 · Venture Capitalist L2
0 reports
$154,235
total / year
Base
$61,694
Stock
$77,118
Bonus
$15,424
$107,965
$200,506
Interview Experience
10 interviews
Difficulty
3.7
/ 5
Duration
21-35 weeks
Offer Rate
20%
Experience
Positive 10%
Neutral 10%
Negative 80%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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