Join Amazon's groundbreaking work in Artificial General Intelligence and shape the future of human-technology interaction. As an ML Data Associate, you'll be instrumental in building and deploying advanced large language models. We're seeking candidates who are innovative and eager to contribute to transformative AI advancements.

This role offers a unique opportunity to be at the forefront of AI development, working on cutting-edge technologies that address some of the world's most complex challenges. Become part of a dynamic team dedicated to responsibly advancing AI for the benefit of customers.

Your core responsibilities will involve performing foundational labeling tasks across diverse data types including text, speech, audio, image, and video. You will meticulously label data according to established guidelines, ensuring high quality and adherence to key performance indicators. This includes analyzing data for patterns, identifying errors, and proposing solutions to enhance labeling accuracy and operational efficiency.

Key duties include maintaining strict confidentiality, demonstrating strong judgment with ambiguous information, and supporting daily operational deliverables. You will also be responsible for identifying and suggesting improvements to processes, tools, and standard operating procedures to streamline operations and unblock tasks. Providing floor support and clarifying internal queries during task execution will also be a part of your role.

To excel in this role, you should possess an Associate's Degree or equivalent work experience, alongside C1+ fluency in the specified language for the location. Essential skills include strong business writing for reports and professional correspondence, advanced reading comprehension for complex documents, and well-developed analytical and problem-solving abilities. You must be adept at interpreting and implementing detailed instructions across various projects.

Proficiency in research, gathering and synthesizing information, and a keen eye for detail in managing complex tasks are crucial. Experience managing stakeholder relationships and advanced proficiency in Microsoft Office Suite and common business applications are also required. Preferred qualifications include a Bachelor's degree, 2+ years of professional experience, and proven ability to leverage open-source resources.