Amazon
Overview
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. 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 About the role
A day in the life: We are looking for a ML Data Associate (MLDA) to undertake foundational labeling functions, such as dialogue evaluation on speech, text, audio, and video data. Your ability to concentrate, multi-task, and maintain high attention to detail helps you deliver high-quality work while maintaining strict confidentiality and following all applicable Amazon policies for securing confidential information. You will be part of a diverse team with a shared vision of improving customers’ lives with practical, useful generative AI innovations. Basic Qualifications
Bachelor’s degree in a relevant field or equivalent professional experience 2+ years of experience working with written language data, including 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 (plagiarism) Excellent attention to detail and ability to focus for long periods 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 with excellent writing, reading, and comprehension skills (CEFR C1) Experience 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 HTML, XML, Markdown; familiarity with JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions Familiarity with Large Language Models Comfort in annotation work that may include sensitive content Inclusion and accommodations:
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. EEO statement:
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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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. 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 About the role
A day in the life: We are looking for a ML Data Associate (MLDA) to undertake foundational labeling functions, such as dialogue evaluation on speech, text, audio, and video data. Your ability to concentrate, multi-task, and maintain high attention to detail helps you deliver high-quality work while maintaining strict confidentiality and following all applicable Amazon policies for securing confidential information. You will be part of a diverse team with a shared vision of improving customers’ lives with practical, useful generative AI innovations. Basic Qualifications
Bachelor’s degree in a relevant field or equivalent professional experience 2+ years of experience working with written language data, including 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 (plagiarism) Excellent attention to detail and ability to focus for long periods 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 with excellent writing, reading, and comprehension skills (CEFR C1) Experience 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 HTML, XML, Markdown; familiarity with JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions Familiarity with Large Language Models Comfort in annotation work that may include sensitive content Inclusion and accommodations:
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. EEO statement:
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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