AI Data Annotation Specialist Artificial General Intelligence
AI Data Annotation Specialist Artificial General Intelligence
Posted on :
02-05-2025
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1 Vacancy
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Job Description
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 Large Language Models (LLMs) capabilities.
Key job responsibilities
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
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 eighthour 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.
HighSchool or equivalent diploma.
Proven 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
Bachelors 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
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Key job responsibilities
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
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 eighthour 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.
HighSchool or equivalent diploma.
Proven 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
Bachelors 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
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
Unclear Seniority
Employment Type
Full-Time
Key Skills
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