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Quality Auditor - German, AGI Data Services - Ground Truth Quality, AGI Data Services-Alexa OPs

Amazon

Quality Auditor - German, AGI Data Services - Ground Truth Quality, AGI Data Services-Alexa OPs

Amazon

Amman, JOR

·

On-site

·

Full-time

·

2w ago

We are seeking a detail-oriented Quality Auditor to join our team at AGI-DS. As a Quality Auditor, you will perform systematic quality assessments within our global network of Data Associates, providing manual review and validation of automated quality measurements. This role is critical in maintaining high standards in data quality for AI development and training.

Key job responsibilities
Conduct quality audits on individual workflows and units delivered by Data Associates
Provide detailed insights on Data Associate-level quality and identify root causes of issues
Perform manual reviews to validate automated quality measurement systems
Document and report quality findings accurately and efficiently
Perform audits to support deep dives and escalations as needed
Coach and calibrate Data Associates co-located at your site to improve performance
Maintain strict compliance with quality standards and procedures
Work closely with Quality Audit Managers to improve processes and implement best practices
Contribute to continuous improvement initiatives within the quality assurance team

A day in the life
You'll be auditing data from Data Associates, ensuring the data aligns with our Quality standards and providing detailed feedback to annotators if the data does not meet our standards. You'll collaborate with Quality Specialists to affirm audit strategies, provide insights, and discuss trends.

About the team
We are a specialized team of Quality Auditors whose strength lies in our attention to detail and documenting feedback for relevant stakeholders. We approach each audit with singular focus and apply our findings to a broad perspective, certifying if data quality is at our standards. Our collaborative methods ensure that insights are refined and lead to comprehensive and reliable audit results.

Basic Qualifications

  • Experience in Machine Learning/Data Labeling operations Strong analytical and problem-solving skills Excellent attention to detail CEFR C1+ or equivalent fluency in language that you will be processing Experience with quality management tools and systems Ability to work in strict compliance with internal guidelines Understanding of data annotation and quality metrics Proficiency in Excel and data analysis tools Ability to work effectively in a team environment Adaptability to changing priorities and workloads

Preferred Qualifications

  • Prior experience in a quality assurance role within the tech industry Familiarity with AI and machine learning concepts Experience with speech or language data

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

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+

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