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 Large Language Models' (LLMs) capabilities. Key job responsibilities - Creating and annotating high-quality complex 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 A day in the life As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. About the team The team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you. Contract Type: Fixed term contract
- Bachelor’s degree in a relevant field or equivalent professional experience
- Experience with creating complex data for LLM training and evaluation
- Proven experience working with command line interfaces and basic UNIX commands
- Familiarity with common markup languages such as HTML, XML, Markdown
- Familiarity with common standard text formats such as JSON, CSV, RTF
- Working knowledge of Python or another scripting language
- Familiarity with regular expressions syntax
- Familiarity with Large Language Models
- Comfort in annotation work that may include sensitive content
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