Annotator Specialist

Proficiency in English language, both spoken and written, with a keen eye for linguistic nuances.

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.

**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 Annotation Specialist to join our team and contribute to the development and enhancement of advanced natural language processing models. As an Annotator, you will be responsible for creating high-quality 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
**Annotation Creation**: Develop annotated datasets by carefully annotating and labeling diverse text samples.

**Domain Expertise**: Gain proficiency in understanding and annotating texts across various experiences, organizations and more, to support the creation of specialized models.

A day in the life
You will provide labels and annotation for various projects across our organizations, some projects will last longer than others, but expect a variation of different label and annotation 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.

Cape Town, ZAF

Proficiency in English language, 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.