DE Annotations Auditor (German fluent), Community Feedback Annotation Team
About the role
Description Our overall mission is simple: to be Earth’s most customer-centric company. We want Amazon to be the place where 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 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.
Requirements
- - Speak, write, and read fluently in German
- - High School or equivalent diploma
- - Experience influencing internal and external stakeholders
- - Experience in writing and editing with a strong command of grammar, punctuation and style
- - Experience that includes strong analytical skills, attention to detail, and effective communication abilities
- - Can work proactively and independently, meet deadlines, and deliver on projects and tasks
- - Experience handling confidential information
- - Not currently on attendance probation or any conduct warnings in the last 3 months
- - Strong computer skills, including proficiency with annotation tools and software.
- 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