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 highquality training data to improve and expand AGIs Large Language Models (LLMs) capabilities. This is a fixed term contractual role for 12 months.

Key job responsibilities
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.

Creating and annotating highquality complex training data in multiple modalities (text image video) on various topics including technical or sciencerelated 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 a 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 multitask and your high attention to detail helps you deliver highquality 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.

Bachelors degree in a relevant field or equivalent professional experience
2 year of experience working with written language data including experience with annotation and other forms of data markup.
Strong proficiency in English. Candidate must demonstrate excellent writing reading and comprehension skills (C2 level in the Common European Framework CEFR scale).
Strong understanding of culture society and norms.
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
Comfortable with highschool level STEM*
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 fastpaced environments with changing circumstances direction and strategy

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
Comfort in annotation work that may include sensitive content

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