Job Description

Description
The AI Conversational Shopping team is looking for an AI Editorial Lead to drive its efforts in delivering a seamless, fluent, and locally-relevant experience for AI-assisted shopping in Japanese. 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, to support evaluation, automation and curation efforts in the AI development process.
This role requires bilingual fluency in English and Japanese, 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 field of artificial intelligence. A successful candidate will thrive in ambiguity and care deeply about curating experiences for customers with 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 language and product guidelines. This person will 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 style, tone and voice our Large Language Models will be trained to adopt in Japanese across the team while driving broader, scalable innovation across international marketplaces.
Key job responsibilities
- Write, edit, and evaluate short-form content along a defined criteria that will be used to evaluate and train our AI models
- Define, align and guide stakeholders in implementing language and evaluation guidelines for Generative AI shopping experiences
- Uphold response quality by exercising judgment and 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, design and use frameworks for Prompt tuning and management to improve the fluency of our AI models
- Guide the development of automation and internal tools that will support evaluation and editorial curation, by providing user requirements and feedback
- Work closely with product, science and engineering stakeholders to prioritise and complete projects within deadlines
Basic Qualifications
- Strong experience in Editing, PR, Marketing, Communications, Copywriting, Journalism, UX/CX Product or Program management
- Bachelor's Degree in Business, Marketing, Journalism, Communications or comparable fields
- Bilingual fluency in English and Japanese
- Exceptional written and verbal communication skills
- Highly effective at writing and assessing short form content across diverse subject matters
- Experience in defining and owning project objectives, requirements, and delivery
- High attention to detail while managing multiple, competing priorities simultaneously
Preferred Qualifications
- Experience working with technical and business stakeholders from global cross-functional teams
- Experience in managing teams
- Experience working in Generative AI, particularly relating to Evaluations, Content Management, Prompt Engineering, Editorial, Tutoring, Expert/Human Annotations or Product Management
- Experience in documenting learnings, strategies, and proposals to present to leadership and stakeholders teams
- Experience working with product and tech teams to develop, launch, or improve tooling and/or user features for customers
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