AI Content Expert

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’ (LLMs) capabilities. This is a fixed term contractual role for 12 months, requiring flexibility to work in rotational shifts.

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

We are looking for an ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi‑task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial.

Basic Qualifications

Bachelor’s degree in a relevant field or equivalent professional experience

2+ yrs of experience working with written language data, including experience with annotation, and other forms of data markup.

Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.

Excellent attention to details and ability to focus for a long period of time

Ability to effectively write and evaluate diverse subject matter across various domains

Ability to adapt writing style to suit various style guidelines and customers.

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

Preferred Qualifications

Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale).

Experience with creating complex data for LLM training and evaluation

Strong understanding of U.S.-based culture, society, and norms.

Comfortable with high‑school level STEM

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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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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