Quality Auditor, Quality Team

About the Role

This Quality Auditor role involves performing systematic quality assessments within Amazon Alliance's global network of Data Associates, ensuring high standards in data quality for AI development and training.

As a Quality Auditor, you will be responsible for conducting quality audits, coaching and calibrating Data Associates, and providing detailed insights on Data Associate-level quality.

Key Responsibilities

• Conduct quality audits on individual workflows and units delivered by Data Associates.
• Coach and calibrate Data Associates co-located at your site to improve performance.
• 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.
• Maintain strict compliance with quality standards and procedures.

Skills & Qualifications

• C1+ or equivalent fluency in English language.
• Good working knowledge (B1+) in both spoken and written English.
• Experience in Machine Learning/Data Labeling operations.
• Demonstrated analytical and problem-solving skills, and attention to detail.
• Effective communication skills in Business English.
• Experience with quality management tools and systems.
• Ability to work in strict compliance with internal guidelines.
• Understanding of data annotation and quality metrics.
• Hands-on experience in Excel and data analysis tools.
• Ability to work effectively in a team environment.
• Adaptability to changing priorities and workloads.

What You'll Learn

In this role, you will gain hands-on experience in quality management, data analysis, and machine learning operations, which will help you develop a strong foundation in data quality assurance.

You will also learn to work effectively in a team environment, communicate complex ideas, and adapt to changing priorities and workloads.

Resume Tip

When applying for this role, be sure to highlight your experience in machine learning and data labeling operations, as well as your analytical and problem-solving skills.

Use specific examples to demonstrate your ability to work in a team environment and adapt to changing priorities and workloads.