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Join a forward-thinking company as a Machine Learning Data Associate, where you will play a crucial role in the responsible development of AI technologies. This position involves handling diverse data types and ensuring high-quality labeling tasks that impact the future of human-technology interaction. Your keen attention to detail and analytical skills will be essential as you work with a dynamic team dedicated to improving customer experiences through innovative AI solutions. If you thrive in fast-paced environments and are passionate about technology, this opportunity is perfect for you.
Job ID: 2963701 | Amazon.com Services LLC
AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us.
We are looking for those candidates who just don’t think out of the box, but make the box they are in ‘Bigger’. The future is now, do you want to be a part of it? Then read on!
We are looking for a ML Data Associate (ML DA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data.
Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information.
Posted: April 10, 2025 (Updated 1 day ago)