Ai Content Expert, German Speaking, Artificial General Intelligence

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.Key ResponsibilitiesCreating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related contentWriting grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelinesPerforming audits and quality checks of tasks completed by other specialists, if requiredMaking sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasksDiving deep into issues and implementing solutions independentlyIdentifying and reporting tooling bugs and suggesting improvementsA Day in the LifeAs 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.About the TeamThe 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.Contract Type:Fixed term contractBasic QualificationsHigh-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.Preferred QualificationsBachelor's degree in a relevant field or equivalent professional experience.Experience with creating complex data for LLM training and evaluation.Proven experience working with command line interfaces and basic UNIX commands.Familiarity with common markup languages such as HTML, XML, Markdown.Familiarity with common standard text formats such as JSON, CSV, RTF.Working knowledge of Python or another scripting language.Familiarity with regular expressions syntax.Familiarity with Large Language Models.Comfort in annotation work that may include sensitive content.Amazon is an equal opportunities employer.We believe passionately that employing a diverse workforce is central to our success.We make recruiting decisions based on your experience and skills.Protecting your privacy and the security of your data is a longstanding top priority for Amazon.Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.#J-*****-Ljbffr