Campus Pride Jobs

Description

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 cutting-edge 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.

Please note that this is an office based position. Attendance to the office 5 days a week is a must.

Key job responsibilities

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

• Contribute to various projects involved in generating training datasets for AI models;

• Create content that generates text-based user input to power artificial intelligence;

• Validate data based on specific annotation guidelines, ensuring the accuracy and quality of the collected information;

• Perform data collection and curation, ultimately resulting in the generation of high-quality data that can be utilized for AI models;

• You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation;

• You will strive to enhance the productivity and effectiveness of the data generation and annotation processes.

We are open to hiring candidates to work out of one of the following locations:

Bucharest, RO

About the team

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 cutting-edge 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

We are open to hiring candidates to work out of one of the following locations:

Bucharest, ROU

Basic Qualifications

• Proficiency in English and another European language between German, French, Portuguese, Spanish or Italian (C1 / C2 Level)

• Previous experience in content or editorial writing

Preferred Qualifications

• Bachelor's degree in Science, Computer Science or equivalent

• Previous experience as AI trainers, knowledge of AI and NLP, Cambridge certifications

• Experience with Artificial Intelligence interaction, such as prompt generation and open AI's

• Outstanding communication skills, both written and oral, with a keen eye for detail.

• Strong command of grammar and punctuation

• 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.