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 AGI's Large Language Models' (LLMs) capabilities.Note: This is a Fixed Term Contractual RoleResponsibilitiesCreating 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 lifeWe are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data.Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial.Basic QualificationsBachelor’s degree in a relevant field or equivalent professional experience2+ yrs of experience working with written language data, including experience with annotation, and other forms of data markupStrong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarismExcellent attention to details and ability to focus for a long period of timeAbility to effectively write and evaluate diverse subject matter across various domainsAbility to adapt writing style to suit various style guidelines and customersAbility to adapt well to fast-paced environments with changing circumstances, direction, and strategyPreferred QualificationsStrong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the CEFR)Experience with creating complex data for LLM training and evaluationStrong understanding of U.S.-based culture, society, and normsComfortable with high-school level STEMFamiliarity with common markup languages such as HTML, XML, MarkdownFamiliarity with common standard text formats such as JSON, CSV, RTFWorking knowledge of Python or another scripting languageFamiliarity with regular expressions syntaxFamiliarity with Large Language ModelsComfort in annotation work that may include sensitive contentOur inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our equal opportunity statement: Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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