AI Content Expert- Fixed term contract

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 AGIs Large Language Models (LLMs) capabilities.

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 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 stricly 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 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.

- Bachelors degree in a relevant field or equivalent professional experience
- 2 years 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
- Strong understanding of U.S.-based 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 high-school 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 fast-paced environments with changing circumstances direction and strategy

- Experience with creating complex data for LLM training and evaluation
- C2 level in the Common European Framework CEFR scale
- 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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