AI Content Expert II, AGI Data Services

AI Content Expert II

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 AGI's Large Language Models' capabilities. Key job responsibilities include creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content. You will also be writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines. Additionally, you will perform audits and quality checks of tasks completed by other specialists, if required, and make sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks.

Basic qualifications include an associate's degree or related work experience, 2+ years of experience working with written language data, including experience with annotation, and other forms of data markup. You must demonstrate excellent writing, reading, and comprehension skills (C2 level in the Common European Framework CEFR scale), strong understanding of U.S.-based culture, society, and norms, and strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources. You should also have excellent attention to details and ability to focus for a long period of time, and be comfortable with high-school level STEM.

Preferred qualifications include a bachelor's degree in a relevant field or equivalent professional experience, experience with creating complex data for LLM training and evaluation, 1+ year(s) of 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, and comfort in annotation work that may include sensitive content.