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Description

AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for those candidates who just don’t think out of the box, but make the box they are in ‘Bigger’. The future is now, do you want to be a part of it? Then read on!

Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand our proprietary Large Language Models (LLMs) capabilities.

The Amazon Artificial General Intelligence (AGI) team is hiring an AI Content Expert—a role some companies describe as a Machine Learning Data Associate (MLDA) or AI Content Writer. You’ll perform foundational data labeling and evaluation, reviewing and scoring dialogues and other interactions across speech, text, audio, and video. The work requires sustained focus, effective multitasking, exceptional attention to detail, and strict adherence to confidentiality and Amazon’s information-security policies. You’ll join a diverse team building practical, useful generative AI; curiosity, initiative, and creativity will help you thrive.

Key job responsibilities

Creating and annotating high-quality training data in multiple modalities (text, image, video) on various topics, including technical or science-related content

Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines

Performing audits and quality checks of tasks completed by other specialists, if required

Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks

Diving deep into issues and implementing solutions independently

Identifying and reporting tooling bugs and suggesting improvements

About the team

Amazon strives to be the world’s most customer-centric company, where customers can research and purchase anything they might want online or offline. We set big goals and are looking for people who can help us reach and exceed them. The AGI organization provides speech recognition capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data labeling services to our customers, that enables them to build advanced ML models.

Basic Qualifications

Advanced-level proficiency in English (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards).

Proven experience working with written language data, including experience with annotation, and other forms of data markup.

Preferred Qualifications

Bachelor's degree in Computer Science, Data Science, Business Operations, or related field

Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy

Experience managing stakeholder relationships across departments

Working knowledge of Python or another scripting language

Advanced-level proficiency in multiple languages (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards)

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 $40,400/year in our lowest geographic market up to $86,500/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.