Data Intelligence - Senior Associate

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.
tWork with a range of different types of data including, but not limited to: text, speech, audio, image, and video
•\\tDeliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon\’s commitment to developing and deploying AI responsibly.
•\\tDemonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio.
•\\tDemonstrate support on daily operational deliverables for multiple task types assigned to you and the team
•\\tAnalyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs.
•\\tDemonstrate ownership in floor support to clarify internal queries during execution on need basis
We are looking for a ML Data Associate (MLDA) 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.
BASIC QUALIFICATIONS•\\tAn Associate’s Degree or related work experience
•\\tC1+ or equivalent fluency in English language
•\\tStrong business writing skills with ability to create reports, proposals, and professional correspondence
•\\tStrong ability to interpret and implement detailed instructions across various projects
•\\PREFERRED QUALIFICATIONS- Bachelor’s degree in a relevant field
– 2+ years of professional work experience with demonstrated task execution ability
– 2-3 years project coordination or management experience (for support functions teams)
– Advanced proficiency in Microsoft Office Suite and common business applications.
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