Level

AmazonPosted 2w ago

AI Editor, Alexa for Shopping - Content and Marketing Experiences

AI Editor, Alexa for Shopping - Content and Marketing Experiences at Amazon scores 14 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.

US, WA, Seattlefull-time$26-$45/hr

AI in this role

prompt-engineeringai-evaluation
Amazon is seeking an AI Editor who is passionate about technology, innovation, and the customer experience. This is an opportunity to join the high-performing team behind Alexa for Shopping, Amazon’s generative AI-powered shopping assistant. Alexa for Shopping makes it easy for customers to find and discover products to meet their unique needs by helping with product research, providing comparisons and recommendations, answering specific product questions, and more.

The AI Editor will be responsible for improving the fluency of our AI models through human-in-the-loop evaluations and LLM judge audits. They will uphold and contribute to quality, style, and tone guidelines, while using customer feedback to continually improve Amazon’s ability to be helpful to customers. Cross-functional partnership will be key, as this team works across Product, Science, and Design teams to evaluate CX metrics, develop scalable reporting systems, and ensure continual model improvements.

This role requires exceptional written and oral communication skills, excellent judgment, strong project management, deep curiosity about how things work, and a passion for serving customers. You must enjoy context-switching and partnering at all levels of the organization to deliver results. This is an opportunity to gain valuable experience in the growing field of artificial intelligence and its application in diverse business settings.

About the team
The Conversational Shopping team is creating innovative and helpful experiences for Amazon's customers. Using AI, we're creating the next evolution in shopping.

Basic qualifications

- Bachelor's degree in English, Communications, Linguistics, or a related field
- Experience with human-in-the-loop AI evaluation, LLM judge building, prompt engineering, or AI model quality assessment
- 2+ years of technical writer, editor, or content management experience

Preferred qualifications

- Experience in overseeing and managing projects and deadlines
- Experience working cross-functionally across marketing, product management, analytics, UX, and research
- Experience in content creation or copy editing, including online publishing

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our 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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.



USA, WA, Seattle - 25.52 - 44.66 USD hourly

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Skills and AI tools this role asks for

Prompt EngineeringAI Evaluation

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  1. How do you structure and test a prompt to get consistent output from a language model?
  2. How do you decide that one model's output is better than another's for a given task?

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