Amazon
Job ID: 3089704 | Amazon.com Services LLC
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.
Key Responsibilities Your key responsibilities will include (but not limited to) the below:
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
Basic Qualifications
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
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 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
Preferred Qualifications
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
Comfort in annotation work that may include sensitive content
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay for this position ranges from $40,400/year in our lowest geographic market up to $86,500/year in our highest geographic market. Pay is based on a number of factors including market location may vary depending on job‑related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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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.
Key Responsibilities Your key responsibilities will include (but not limited to) the below:
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
Basic Qualifications
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
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 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
Preferred Qualifications
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
Comfort in annotation work that may include sensitive content
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay for this position ranges from $40,400/year in our lowest geographic market up to $86,500/year in our highest geographic market. Pay is based on a number of factors including market location may vary depending on job‑related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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