Join Amazon's Artificial General Intelligence Data Services team and help shape the future of human-technology interaction. We are at the forefront of AI innovation, focusing on generative AI and responsible LLM development across all our businesses.

We seek proactive individuals who can expand boundaries and contribute to cutting-edge AI advancements. If you are driven by innovation and eager to be part of transformative technology, this is your opportunity.

Key responsibilities include maintaining strict confidentiality and ensuring customer privacy. You will work with diverse data types such as text, speech, audio, image, and video.

Deliver high-quality labeled data using provided guidelines and in-house tools to meet performance metrics, contributing to Amazon's commitment to responsible AI deployment. Demonstrate strong insight generation across various modalities and make sound judgments with ambiguous information.

Exhibit exceptional attention to detail and the ability to switch between tasks seamlessly. Support daily operational deliverables and analyze root causes of errors to propose improvements for labeling tasks. Identify and suggest changes for process and operational issues in Standard Operating Procedures and tools to enhance efficiency.

Provide floor support to clarify internal queries during task execution as needed, ensuring smooth operations.

We are looking for an ML Data Associate (MLDA) to perform foundational labeling tasks, including dialogue evaluation on speech, text, audio, and video data.

Your ability to concentrate, multitask, and maintain a high level of attention to detail is crucial for delivering quality work while adhering to strict confidentiality and Amazon's information security policies. You will be part of a diverse team dedicated to enhancing customer lives through practical generative AI innovations. An intrinsic drive, individuality, and creativity are highly advantageous.

Basic qualifications include an Associate's Degree or equivalent work experience, C1+ fluency in a specified language, and strong business writing skills. You should possess advanced reading comprehension for analyzing complex documents, developed analytical and problem-solving capabilities, and the ability to interpret and implement detailed instructions.

Proficient research skills for gathering and synthesizing information, proven attention to detail in managing complex tasks, and experience in stakeholder relationship management are required. Advanced proficiency in Microsoft Office Suite and common business applications is essential.

Preferred qualifications include a Bachelor’s degree in a relevant field, 2+ years of professional work experience, and the capacity to leverage open-source resources for research. Adaptability to fast-paced environments and 2-3 years of project coordination or management experience are beneficial.