Ai Engineer • Entry-Level

Who you are

You are an innovative thinker with a strong interest in generative AI and the responsible development of Large Language Models (LLMs). You have experience in creating and annotating high-quality training data across various modalities, including text, image, and video. Your ability to write grammatically correct texts in different styles demonstrates your creativity and adherence to guidelines. You are comfortable interpreting technical documentation and implementing solutions independently, showcasing your problem-solving skills. You thrive in environments where you can dive deep into issues and make sound judgments when faced with ambiguity. You are flexible and willing to work in rotational shifts, adapting to the needs of the team.

Desirable

Experience with AI technologies and a background in data science or machine learning would be advantageous. Familiarity with tools for data annotation and a keen eye for detail will help you excel in this role.

What you'll do

In this role, you will be part of Amazon's Data Team, focusing on delivering high-quality training data to enhance our proprietary LLM capabilities. You will create and annotate complex training data on various topics, ensuring that the data meets the required standards for quality and accuracy. Your responsibilities will include writing texts that adhere to specific guidelines and styles, which will directly impact how customers interact with Amazon's AI systems. You will also be tasked with identifying and reporting tooling bugs, suggesting improvements to enhance the data annotation process. Your work will contribute to the technological advancement of AI at Amazon, making a significant impact across multiple business lines.

What we offer

Amazon offers a dynamic work environment where you can contribute to cutting-edge AI technologies. You will have the opportunity to work with a talented team dedicated to improving customer interactions with AI systems. This is a fixed-term contractual role for one year, providing you with valuable experience in the field of AI and data science. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds in our team.