French Annotations Auditor – Data Quality for AI Models

ACCA Careers

Cape Town

Hybrid

ZAR 300,000 - 540,000

Full time

2 days ago
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Job summary

Amazon is seeking a dedicated, fluent French-speaking Auditor to join our Community Feedback Annotations team in Cape Town. You will evaluate annotated datasets used to train generative AI models and ensure quality and consistency across projects.

Responsibilities include reviewing annotations for accuracy, gaining domain expertise across projects, and performing regular data integrity checks. This role offers exposure to cutting-edge NLP workflows and a collaborative, diverse team in a

Qualifications

  • 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.

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.

Skills

French language
Quality Assurance
Attention to detail
Analytical thinking

Tools

MS Office

Job description

Amazon is seeking a dedicated, fluent French-speaking Auditor to join our Community Feedback Annotations team in Cape Town. You will evaluate annotated datasets used to train generative AI models and ensure quality and consistency across projects.

Responsibilities include reviewing annotations for accuracy, gaining domain expertise across projects, and performing regular data integrity checks. This role offers exposure to cutting-edge NLP workflows and a collaborative, diverse team in a

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