At a Glance
- Tasks: Create and annotate complex training data for AI models across text, image, and video.
- Company: Join Amazon's innovative team focused on AI and data analysis.
- Benefits: Competitive salary, diverse team culture, and opportunities for professional growth.
- Why this job: Make a real impact in AI development while working with cutting-edge technology.
- Qualifications: High school diploma, strong English skills, and experience with written language data.
- Other info: Dynamic office environment with regular training and Amazon events.
The predicted salary is between 28800 - 48000 Β£ per year.
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 high-quality training data to improve and expand Large Language Models\β (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
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 eight-hour 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.
Contract Type: Fixed term contract
Basic Qualifications
- High-School 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 (C1 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\βs 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 (https://www.amazon.jobs/en/privacy_page) 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you\\\βre applying in isn\\\βt listed, please contact your Recruiting Partner.
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AI Content Expert , Artificial General Intelligence employer: Redefined Ltd
Contact Detail:
Redefined Ltd Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land AI Content Expert , Artificial General Intelligence
β¨Tip Number 1
Network like a pro! Reach out to folks in the industry, join relevant groups on LinkedIn, and donβt be shy about asking for informational interviews. We all know that sometimes itβs not just what you know, but who you know!
β¨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to AI content creation. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.
β¨Tip Number 3
Show off your skills! Create a portfolio showcasing your writing samples, annotations, or any relevant projects. This is your chance to shine and demonstrate your expertise in handling complex data.
β¨Tip Number 4
Donβt forget to apply through our website! Itβs the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged with our platform.
We think you need these skills to ace AI Content Expert , Artificial General Intelligence
Some tips for your application π«‘
Tailor Your Application: Make sure to customise your application to highlight your relevant experience and skills. We want to see how your background aligns with the role of AI Content Expert, so donβt hold back on showcasing your writing prowess and data handling skills!
Show Off Your Writing Skills: Since this role is all about creating high-quality content, ensure your application is grammatically correct and well-structured. Use different styles where appropriate to demonstrate your versatility in writing β we love creativity!
Be Detail-Oriented: Pay close attention to the details in your application. Weβre looking for candidates who can focus and deliver precise work, so make sure there are no typos or errors. A polished application reflects your commitment to quality!
Apply Through Our Website: Donβt forget to submit your application through our website! Itβs the best way for us to receive your details and ensures youβre considered for the role. Plus, itβs super easy β just follow the prompts and youβll be good to go!
How to prepare for a job interview at Redefined Ltd
β¨Know Your Stuff
Make sure you brush up on your knowledge of Large Language Models and the specific requirements of the role. Familiarise yourself with the types of data you'll be working with, like text, images, and videos. This will help you answer questions confidently and show that you're genuinely interested in the position.
β¨Show Off Your Writing Skills
Since the job involves creating and annotating content, be prepared to showcase your writing abilities. Bring examples of your work that demonstrate your proficiency in different styles and formats. This could include anything from technical writing to creative pieces, so pick a variety that highlights your versatility.
β¨Prepare for Problem-Solving Questions
Expect to face scenarios where you need to make sound judgments with incomplete information. Think about past experiences where you've had to dive deep into an issue and implement solutions independently. Practising these types of questions can help you articulate your thought process clearly during the interview.
β¨Be Ready to Discuss Tools and Technologies
Familiarity with command line interfaces, markup languages, and scripting is a plus. Be prepared to discuss any relevant experience you have with these tools. If youβve worked with Python or other programming languages, mention specific projects or tasks where you applied these skills, as it shows you're ready to hit the ground running.