DE Annotations Auditor, Community Feedback Annotations team

Amazon.; Cape Town; On-site; ZAR 300,000 - 500,000; Full time

Job summary

A leading technology company seeks a dedicated German-speaking Auditor to enhance AI models. This role involves quality assurance of annotated datasets, requiring strong attention to detail, analytical skills, and prior auditing experience. Join a team passionate about customer-centric innovation and contribute to cutting-edge AI development, ensuring data accuracy and integrity.

Qualifications

• Native German Speaker.
• Minimum 6 months auditing experience in quality assurance or annotations.
• Detail-oriented with strong linguistic understanding.

Responsibilities

• Review and verify annotations for consistency and accuracy.
• Perform regular quality checks and maintain data integrity.
• Evaluate annotated datasets for various projects.

Skills

Attention to detail

Analytical skills

Problem-solving

Communication

Education

Matric/Grade12/NQF4 or equivalent

Job description

Our overall mission is simple: To be earth's most customer centric company. We want Amazon to be the place where our customers can find, discover and buy anything online. Whatever our customers want, we will find the means to deliver it. With your help, Amazon will deliver world class AI generated experiences to our customers.

We are seeking a dedicated German speaking Auditor to join our team and contribute to the development and enhancement of advanced natural language processing models. As an auditor, you will be responsible for evaluating annotated datasets that will be 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, organizations and more, to support the creation of specialized models.

Data Integrity: Ensure the accuracy and integrity of the annotated data by performing regular quality checks, identifying and addressing inconsistencies, and 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 last longer than others, but expect a variation of different 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.

BASIC QUALIFICATIONS

Native German Speaker

Candidates must have completed

at least 6 months Auditing experience in Quality assurance or Annotations teams providing both German and English Support

Matric/Grade12/NQF4 or equivalent or higher qualification/s

Comfort and experience communicating and influencing across job levels with both internal and external partners

Can deep dive on audited results to find root causes

Must be exceeding quality targets and productivity targets for the last 3 months

Not currently on attendance probation or any conduct warnings in the last 3 months

Strong understanding of linguistic concepts, grammar, syntax, and language variations.

Detail-oriented with exceptional analytical and problem-solving skills.

Excellent communication skills, both written and verbal, to collaborate effectively with cross-functional teams.

Ability to work independently, prioritize tasks, and manage time effectively in a fast-paced environment.

Strong computer skills, including proficiency in using annotation tools and software.

Ethical and professional approach to handling sensitive data and maintaining confidentiality.

PREFERRED QUALIFICATIONS

Proficiency in multiple languages, both spoken and written, with a keen eye for linguistic nuances.

Prior experience in linguistic annotation, data labeling, or similar roles is a plus.

Familiarity with natural language processing (NLP) and machine learning concepts is advantageous.

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 ideas. In 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 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.