WE OFFER A 12-MONTH TEMPORARY CONTRACT

Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging the latest technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide.

This is an office based role so presence at the office will be required 5 days a week.

Key job responsibilities
As part of your role, you will have the opportunity to:

• Process annotation & data analysis tasks with high efficiency and quality in a fast paced environment
• Provide floor support to Operations manager in running day to day operations working closely with Data Associates
• Handle work prioritization and deliver based on business needs
• Track and report ops metrics and ensure delivery on all KPIs and SLAs
• Work closely with your team members and managers to drive process efficiencies and explore opportunities for automation
• Enhance the productivity and effectiveness of the data generation and annotation processes.
• The tasks will be primarily repetitive in nature and will require the individual to make judgment-based decisions keeping in mind the guidelines provided in the Standard Operation Procedures.

About the team
Alexa Shopping Operations is a team with a mission to help create a world class shopping experience for Amazon customers. Our north star goal is to enable the expansion of seamless shopping experience in everyday life at voice commands by simply interacting with the smart devices like Amazon Show, Spot, Echo, Dot, Tap or Alexa on Amazon App. We work on labeling the data sets for model training and analyzing the data sets for improving customer experience. These data sets generated are consumed by engineering teams like Natural Language Understanding, Machine Learning Science to develop, test and train the Alexa models with the highest quality data for improving the shopping experience. Come, partner with us to build the future.

Basic Qualifications

• Proficiency in both English and Portuguese (C1 / C2 Level), with a special focus on writing and editing skills with a strong command of grammar, punctuation, and style
• Previous experience in content or editorial writing

Preferred Qualifications

• Outstanding communication skills, both written and oral, with a keen eye for detail
• Strong organizational skills to effectively manage tasks and projects
• Proficient in analytical thinking and problem-solving
• Comfortable working in a fast-paced, highly collaborative, and dynamic work environment

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.

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.