AI Content Expert, Amazon

• High-School or equivalent diploma
• Proven experience working with written language data, including experience with annotation, and other forms of data markup
• CEFR C1 or equivalent fluency in German language
• Written and spoken knowledge of English is essential (CEFR C1)
• Strong understanding of U.S.-based culture, society, and norms
• Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism
• Excellent attention to details and ability to focus for a long period of time
• Comfortable with high-school level STEM
• Ability to effectively write and evaluate diverse subject matter across various domains
• Ability to adapt writing style to suit various style guidelines and customers
• Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy

Desirable

• Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand Large Language Models' (LLMs) capabilities
• Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
• Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines
• Performing audits and quality checks of tasks completed by other specialists, if required
• Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
• Diving deep into issues and implementing solutions independently
• Identifying and reporting tooling bugs and suggesting improvements
• As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case
• You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data