The Conversational Shopping team is looking for a Lead AI Editor to drive its efforts in delivering a seamless, fluent, and locally-relevant experience for AI-assisted shopping in Italian. This is an opportunity to join the high-performing team behind Amazon’s Generative AI shopping initiatives. Our objective is to make it easy for customers worldwide to find and discover the best products, meet their unique needs with product research, providing comparisons and recommendations, answering specific product questions, and more. This role is inherently high-visibility and highly cross-functional, requiring collaboration and influence across global product, design, science, and engineering teams.This role requires bilingual fluency inEnglish and Italian, exceptional writing and communication skills in both languages, excellent judgement, strong interpersonal skills, deep curiosity about how things work in the AI space, and a passion for serving customers. You must enjoy context-switching and partnering at all levels of the organisation to deliver results. This is an opportunity to gain valuable experience in AI and its application in diverse business settings.We are looking for candidates who are passionate about the intersection of language and technology and who are keen to learn and innovate in the cutting-edge field of artificial intelligence. A successful candidate will thrive in ambiguity and care deeply about crafting short-form content that is clear, concise, and relatable. This person will have a knack for simplifying complex statements and revel in the opportunity to create and implement style guidelines for their language. This person deliver delightful conversational experiences through writing, editing, evaluation, and prompt engineering. Part editor, part team lead, they will set and drive the vision for the tone and language our Large Language Models will be trained to adopt in Italian across the team.Key job responsibilities- Write, edit, and annotate short-form content that will be used to evaluate and train our AI models- Define, align and guide stakeholders in implementing style guidelines for Generative AI shopping experiences- Uphold response quality using customer feedback to continually drive improvements across team processes- Analyze root causes, identify error patterns, and propose solutions to enhance the quality of evaluation and annotation tasks- Create and use frameworks for Prompt Generation and Reinforcement Learning with Human Feedback (RLHF) to improve the fluency of our AI models- Work closely with product, science and engineering stakeholders to prioritise and complete projects within deadlines