Join Amazon's Artificial General Intelligence Data Services team and contribute to the future of AI. We are seeking innovative thinkers to expand the boundaries of what's possible. This role offers an exciting opportunity to be at the forefront of AI development, shaping the interaction between humans and technology.

As an ML Data Associate, you will perform foundational labeling tasks for speech, text, audio, and video data. Your ability to concentrate, multitask, and maintain a high level of attention to detail will be crucial. Strict confidentiality and adherence to Amazon's policies are paramount. Become part of a diverse team dedicated to improving customer lives through practical generative AI innovations.

An inherent drive, individuality, and a creative mindset are highly valued in this dynamic environment.

Your core responsibilities will include meticulous data labeling across various modalities like text, speech, audio, and video, ensuring adherence to provided guidelines and meeting key performance indicators. You will leverage in-house tools and software to deliver high-quality, human-insight-driven data.

This role demands the ability to make sound judgments and logical decisions, particularly when dealing with ambiguous or incomplete information. You'll need to swiftly adapt to evolving requirements and demonstrate support for daily operational deliverables, both for your assigned tasks and the team.

Key tasks also involve analyzing root causes of errors, identifying patterns, and proposing solutions to enhance labeling quality. You will be responsible for identifying and suggesting improvements to standard operating procedures and tools to streamline operations. Floor support to clarify queries during execution will also be a part of your role.

The ideal candidate possesses an Associate's Degree or equivalent work experience, along with C1+ fluency in a specified language. Strong business writing and advanced reading comprehension skills are essential for creating reports and analyzing complex documents.

Developed analytical thinking and structured problem-solving capabilities are required, alongside a strong ability to interpret and implement detailed instructions across diverse projects. Proficient research skills for gathering and synthesizing information from multiple sources are also necessary.

Proven attention to detail in managing complex tasks and documents, coupled with experience managing stakeholder relationships, is important. Advanced proficiency in Microsoft Office Suite and common business applications is expected. A Bachelor’s degree in a relevant field and 2+ years of professional work experience with demonstrated task execution ability are preferred.