Data Intelligence

1 week ago

London, United Kingdom Amazon Full time

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.
Work with a range of different types of data including but not limited to text, speech, image, and video
Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software
Assume the role of a subject matter expert for Machine Learning (ML) data workflows and demonstrate proficiency in researching, creating factually and grammatically correct responses, ranking responses, creating grammatically correct text, speech, image, video annotation.
Demonstrate support for daily operational deliverables like AHT, quality, TAT for multiple task types assigned to you and the team
Demonstrate expertise in handling end to end data execution process related to labelling the tasks and be less dependent on work instructions
Contribute to root cause analysis, identify error patterns and identify solutions to improve quality of labelling tasks
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, to assess and improve Alexa’s performance in everyday situations.
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 to make huge strides in the world of technology and the way we use Artificial Intelligence. An inner drive, individuality, and a creative mind are extremely beneficial.
The team works strictly in the office Monday through Friday with an eight-hour shift. Experience in natural language data labeling, data annotation, linguistic annotation or other forms of data markup
Speak, write, and read fluently in English
Speak, write, and read fluently in Portuguese
C1+ or equivalent proficiency in Brazilian Portuguese
C1+ or equivalent proficiency in English
Bachelor's degree in a relevant field or equivalent work experience
Proven project coordination or management experience (for support functions teams)
Advanced proficiency in Microsoft Office Suite and common business applications.
Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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 for more information.

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