AI Data Trainer with German, Alexa

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.

What we look for:
- Curiosity and initiative. Rather than waiting to be told what to do, you are forever hunting down to new opportunities and testing fresh ideas.
- Fluent in German and English. You can read, write and speak fluently both in German and English.
- You live in Bucharest, or are ready to relocate. This position requires you to work from the office three days a week.

What we offer:
- An exceptional opportunity for growth. We do everything we can to offer a comprehensive spectrum of learning opportunities, from mentor programs to reoccurring developmental sessions.
- All. These. Benefits. Flexible hours, health insurance, medical insurance, meal vouchers, special discount for employees, yearly salary reviews, commuter benefits, parental leave and more. We encourage all Amazonians to use benefits to create the conditions to do their best work.

This is an office-based role in our Bucharest, Romania office, working Monday to Friday. Our roles requires employees to work from the office 5 days a week.

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.

Basic qualifications

- Proficiency in both English and German (C1 / C2 Level), with a special focus on writing and editing skills with a strong command of grammar, punctuation, and style;
- 1+ years of experience in content or editorial writing;
- High school diploma or equivalent;
- Proficient in Microsoft Office.

Preferred qualifications

- Bachelor's degree in Science, Computer Science or Portuguese stream;
- Portuguese language certification;
- 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 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.