Content Editor, AGI Data Services Job at Amazon in Boston

Description Amazon is looking for a Content Editor 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.

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

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 CEFR)

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 detail 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 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

Company & Location 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 workplace accommodations 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 US 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 and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Equity, sign-on payments, and other forms of compensation may be provided as part of a total 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.

Job ID : A3091602

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