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
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
Work closely with Quality Audit Managers to improve processes and implement best practices
Contribute to continuous improvement initiatives within the quality assurance team
Internal Job Description
Basic 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
Strong analytical and problem-solving skills
Excellent attention to detail
Strong 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
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
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates. 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.
Basic Qualifications
* C1+ or equivalent fluency in French language Good working knowledge (B1+) in both spoken and written English Experience in Machine Learning/Data Labeling operations
* Strong analytical and problem-solving skills
* Excellent attention to detail
* Strong 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
* 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 Amazon is an equal opportunities employer.
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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