Amazon.com Services LLC
Editorial, Writing, Content Management, Machine Learning Data Operatio, Retail
AITutor
Neural analysis suggests this role is
optimal for Mid+ candidates.
“AI Tutor at Amazon.com Services LLC. Skills: Data labeling, AI model training, Shopping AI. Deliver labelled data. Generate human insight data”
What You'll Achieve.
Improve fluency of Shopping AI model; Improve shopping experience
Industry & Context.
Root cause analysis; Error pattern identification
5 days in-office
What They're Looking For.
Must Have
Experience in natural language data labeling, Experience in data annotation, Experience in linguistic annotation, Experience in other forms of data markup, Bachelor's degree in English, Bachelor's degree in Communications, Bachelor's degree in Linguistics, Attention to safety, Ability to follow detailed procedures, Experience developing data annotation metrics, Experience evaluating data annotation metrics, Experience developing data quality metrics, Experience evaluating data quality metrics, Experience using annotation strategies, Contribute to development of AI, Contribute to improvement of AI
Nice to Have
2+ years technical writer experience, 2+ years editor experience, 2+ years content strategist experience, Experience leading cross-functional teams, Experience working in fast paced environments, Experience managing workload during stress, Experience working with cross-functional teams
What You'll Do.
Deliver labelled data
Generate human insight data
Make logical decisions
Pivot from one category to another
Identify error patterns
Identify process issues
Identify operational issues
How You'll Work.
Team & Collaboration
Product teams; Science teams; Engineering teams; Editorial team; Creative product managers; Program managers; Writers; Editors; Language engineers
Communication Scope
Written communication; Oral communication
Full Job Description
Amazon is seeking an AI Tutor who has strong language skills, is exceptionally detail-oriented, and has a track record of exhibiting high judgment in ambiguous environments. This role is based in Seattle (HQ1) or New York City (Manhattan) with 5 days in-office presence. Amazon is unable to offer relocation support for this role. 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 will bring innovation and cohesion to our efforts to deliver a seamless and delightful AI-assisted shopping experience to customers worldwide. We are looking for candidates who are passionate about the intersection of language and technology and are keen to support the training of Large Language Models. This role will be responsible for conducting high-judgment evaluations and labeling data in order to improve the fluency of our Shopping AI model. They will uphold our high standards for style and tone, while using customer feedback to continually iterate and improve the shopping experience. This role requires exceptional written and oral communication skills, excellent judgment, strong interpersonal skills, deep curiosity about how things work, and a passion for serving customers. You must enjoy context-switching and multi-tasking while upholding our high standards. This is an opportunity to gain valuable experience in the growing field of artificial intelligence and its application in diverse business settings. Key job responsibilities * Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly. * Demonstrate proficiency in generating high-quality human insight data
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