FR Annotations Auditor, Community Feedback Annotation Team
Cape Town - South Africa
Job Summary
We are seeking a dedicated fluent French-speaking Auditor to join our Community Feedback Annotations team and contribute to the development and enhancement of advanced natural language processing models. As an Auditor you will evaluate annotated datasets used to train and improve generative AI models. Your meticulous attention to detail and linguistic expertise will play a crucial role in ensuring the accuracy and effectiveness of our models.
Key job responsibilities
Quality Assurance
Review and verify annotations made by fellow annotators for consistency accuracy and adherence to guidelines. Provide constructive feedback to maintain annotation quality.
Domain Expertise
Gain proficiency in understanding and annotating texts across various experiences and organizations supporting the creation of specialized models.
Data Integrity
Ensure accuracy and integrity of annotated data through regular quality checks. Identify and address inconsistencies maintaining a high standard of data cleanliness.
A day in the life
You will evaluate labels and annotated data for various projects across our organization. Some projects will run longer than others but expect a variety of evaluation requests month to month.
About the team
Our team is passionate about human motivation and behavior and uses machine learning classification algorithms and scalable platform services to have a cross-org impact every day. We evaluate user research customer experience knowledge data and cross-Amazon moderation expertise to ensure other teams think about customer trust.
- Experience as a Quality Specialist and/or Quality Analyst
- Experience with computer skills including proficiency in MS Office (Word Excel PowerPoint)
- 6 to 9 months in an Annotations role or similar
- Not currently on attendance probation or any conduct warnings in the last 3 months
- Speak write and read fluently in French and English with respect to complex technical instructions and concepts
- Experience in machine learning data mining information retrieval statistics or natural language processing
- Prior experience in linguistic annotation data labeling or similar roles is a plus.
Amazon is an equal opportunities employer and we value your passion to discover invent simplify and build. We welcome applications from all members of society irrespective of age sex disability sexual orientation race religion or belief. Amazon is strongly committed to diversity within its community and especially welcomes applications from South African citizens who are members of designated groups who may contribute to Employment Equity within the workplace and the further diversification of this regard the relevant laws and principles associated with Employment Equity will be considered when appointing potential candidates. We are required by law to verify your ability to work lawfully in South Africa. Amazon requires that you submit a copy of either your identity document or your passport and any applicable work permit if you are a foreign national along with an updated curriculum vitae.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
IC
About Company
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