AI Editor, Amazon Rufus Editorial
New York, New York, USA
Amazon.com
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa...
Amazon is seeking an AI Editor with exceptional language skills who will bring innovation and creativity to our efforts to deliver a seamless and delightful AI-assisted shopping experience to customers worldwide. This is an opportunity to join the high-performing team behind Amazon’s generative AI-powered shopping assistant. Rufus makes it easy for customers to find and discover the best products to meet their unique needs by helping 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 Amazon, including Editorial, Product, Science, Engineering, and Partner teams.
Key job responsibilities
* Translate complex content policies into prompts that LLMs can easily understand, ensuring alignment with business priorities
* Develop and utilize novel prompting approaches for feature development and defect reduction
* Create high-quality alignment data to train LLMs in shopping-specific use cases
* Identify potential biases or limitations in the LLMs responses and employ fine-tuning techniques to improve the model
* Become a subject matter expert across sensitive topics and policies, including areas ranging from environmental and medical claims to sexual content and profanity
A day in the life
You will develop and implement prompting strategies to train and improve Amazon’s Shopping LLM. You will partner closely with Product, Science, and Engineering teams, who are invested in creating solutions that make it easier, faster, and more intuitive for our non-coding workforce to iterate and improve Rufus for customers. You will be part of an Editorial team, which includes creative product and program managers, writers, editors, and language engineers. This is a startup culture: We move fast, have ambitious goals, adapt quickly, and learn along the way.
* Bachelor’s Degree in English, Linguistics, Journalism, or comparable fields
* 5+ years of writing and/or editing experience
* Hands-on experience with generative AI, LLMs, and/or prompt engineering techniques
* Working knowledge of the Chicago Manual of Style
* Experience writing and editing for a consumer audience
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $47,800/year in our lowest geographic market up to $102,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Key job responsibilities
* Translate complex content policies into prompts that LLMs can easily understand, ensuring alignment with business priorities
* Develop and utilize novel prompting approaches for feature development and defect reduction
* Create high-quality alignment data to train LLMs in shopping-specific use cases
* Identify potential biases or limitations in the LLMs responses and employ fine-tuning techniques to improve the model
* Become a subject matter expert across sensitive topics and policies, including areas ranging from environmental and medical claims to sexual content and profanity
A day in the life
You will develop and implement prompting strategies to train and improve Amazon’s Shopping LLM. You will partner closely with Product, Science, and Engineering teams, who are invested in creating solutions that make it easier, faster, and more intuitive for our non-coding workforce to iterate and improve Rufus for customers. You will be part of an Editorial team, which includes creative product and program managers, writers, editors, and language engineers. This is a startup culture: We move fast, have ambitious goals, adapt quickly, and learn along the way.
Basic Qualifications
* Bachelor’s Degree in English, Linguistics, Journalism, or comparable fields
* 5+ years of writing and/or editing experience
* Hands-on experience with generative AI, LLMs, and/or prompt engineering techniques
Preferred Qualifications
* Experience working cross-functionally to drive product improvements* Working knowledge of the Chicago Manual of Style
* Experience writing and editing for a consumer audience
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $47,800/year in our lowest geographic market up to $102,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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Category:
Deep Learning Jobs
Tags: Engineering Generative AI Linguistics LLMs Prompt engineering Research
Perks/benefits: Career development Equity / stock options Startup environment
Region:
North America
Country:
United States
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