De Annotations Auditor, Community Feedback Annotations Team

Acca Careers; Cape Town; On-site; ZAR 25 000 - 45 000; Full time

Job summary

An established industry player is seeking a dedicated German-speaking Auditor to enhance AI-generated experiences. In this role, you'll evaluate annotated datasets, ensuring quality and accuracy in natural language processing models. Your expertise will support the development of specialized models, contributing to a team passionate about human behavior and machine learning. If you thrive in a fast-paced environment and possess strong analytical skills, this opportunity offers a chance to make a significant impact in a dynamic organization committed to diversity and innovation.

Qualifications

• 6 months of auditing experience in quality assurance or annotation.
• Strong understanding of linguistic concepts and grammar.

Responsibilities

• Review and verify annotations for consistency and accuracy.
• Ensure data integrity by performing quality checks.

Skills

German language proficiency

Quality Assurance

Analytical skills

Attention to detail

Communication skills

Problem-solving skills

Education

Matric / Grade 12 / NQF 4

Tools

Annotation tools

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 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

1. Quality Assurance: Review and verify annotations made by fellow annotators for consistency, accuracy, and adherence to guidelines.
2. Provide constructive feedback: Maintain annotation quality.
3. Domain Expertise: Gain proficiency in understanding and annotating texts across various experiences, organizations, and more, to support the creation of specialized models.
4. 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 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-organizational impact every day.

We evaluate user research, customer experience knowledge, data, and cross-Amazon moderation expertise to ensure other teams prioritize customer trust.

BASIC QUALIFICATIONS

• Native German speaker
• Candidates must have completed at least 6 months of auditing experience in quality assurance or annotation teams providing both German and English support
• Matric / Grade 12 / NQF 4 or higher qualification(s)
• Comfort and experience communicating and influencing across job levels with both internal and external partners
• Ability to analyze audited results to find root causes
• Must have exceeded quality and productivity targets in 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
• Ability to work independently, prioritize tasks, and manage time effectively in a fast-paced environment
• Strong computer skills, including proficiency in 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
• Familiarity with NLP and machine learning concepts

Amazon is an equal opportunities employer and values your passion to discover, invent, simplify, and build.

We welcome applications from all societal members regardless of age, sex, disability, sexual orientation, race, religion, or belief.

Amazon is committed to diversity and especially encourages applications from South African citizens who are members of designated groups contributing to employment equity and diversification of ideas.

Legal compliance regarding work authorization in South Africa is required. Applicants must submit a copy of their identity document or passport and any applicable work permit if foreign nationals.

Our inclusive culture empowers Amazonians to deliver the best results for our customers.

If you have a disability and require accommodations during the application or onboarding process, please visit our support page for more information.

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