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 C2)
• 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
• The team works strictly in the office Monday through Friday with an eight-hour shift
• We are constantly looking for ways to improve our capabilities and deliver the best product possible
• Diverse team, regular meetings, trainings, and Amazon events throughout the year await you