ML Data Associate-II, AGI (S), Artificial Generalized Intelligence Data Services (AGI-DS) at Amazon
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ML Data Associate-II, AGI (S), Artificial Generalized Intelligence Data Services (AGI-DS)
CR, H, Heredia
machine learning
RAG
LLM
AI is the most transformational technology of our time, capable of tackling some of humanityās 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 donāt think out of the box, but make the box they are in āBiggerā. The future is now, do you want to be a part of it? Then read on!
Key job responsibilities
ā¢ Maintain and follow strict confidentiality as customer privacy is our biggest tenet
ā¢ Work with a range of different types of data including but not limited to text, speech, image, and video
ā¢ Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software.
ā¢ Serve as a subject matter expert for Machine Learning (ML) data workflows, demonstrating proficiency in researching, generating factually and grammatically accurate responses, ranking responses, creating grammatically correct text, and annotating speech, images and videos
ā¢ Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks.
ā¢ Eye for detail and ability to pivot from one category of requirement to another instantaneously.
ā¢ Demonstrate support for daily operational deliverables like Average handle time (AHT) quality, and turnaround time (TAT) for multiple task types assigned to you and the team
ā¢ Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs.
ā¢ Responsible for identifying day-to-day process and operational issues in SOP, tools and suggest changes to unblock operations
ā¢ Demonstrate ownership in floor support to clarify internal queries during execution on need basis strictly following privacy criteria to guarantee costumer trust.
A day in the life
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, image to assess and improve our AI modelās 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 AI. An inner drive, individuality, and a creative mind are extremely beneficial.
About the team
This is a full-time position based at our office location, Monday through Friday. Due to the nature of our business and the collaborative nature of our work, remote work options are not available for this role.
Are you ready to shape the future of human-technology interaction? Amazon is at the forefront of innovation, harnessing the power of generative AI to tackle some of societyās most pressing challenges. As we pioneer the responsible development and deployment of large language models (LLMs) across our diverse businesses, we invite visionary engineers to join our team. Amazon events throughout the year, AI Fundamentals, Diverse and Collaborative Team await for you.
Join Us! Be a part of Amazonās journey in shaping the future of AI and human-technology interaction. If you are passionate about pushing the boundaries of what AI can achieve and thrive in a collaborative environment, we encourage you to apply. Together, letās build a future where AI enhances the way we live and work.
Amazon is an equal opportunity employer and does not discriminate on the basis of race, ethnicity, gender identity, sexual orientation, age, or disability status.
We are looking for those candidates who just donāt think out of the box, but make the box they are in āBiggerā. The future is now, do you want to be a part of it? Then read on!
Key job responsibilities
ā¢ Maintain and follow strict confidentiality as customer privacy is our biggest tenet
ā¢ Work with a range of different types of data including but not limited to text, speech, image, and video
ā¢ Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software.
ā¢ Serve as a subject matter expert for Machine Learning (ML) data workflows, demonstrating proficiency in researching, generating factually and grammatically accurate responses, ranking responses, creating grammatically correct text, and annotating speech, images and videos
ā¢ Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks.
ā¢ Eye for detail and ability to pivot from one category of requirement to another instantaneously.
ā¢ Demonstrate support for daily operational deliverables like Average handle time (AHT) quality, and turnaround time (TAT) for multiple task types assigned to you and the team
ā¢ Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs.
ā¢ Responsible for identifying day-to-day process and operational issues in SOP, tools and suggest changes to unblock operations
ā¢ Demonstrate ownership in floor support to clarify internal queries during execution on need basis strictly following privacy criteria to guarantee costumer trust.
A day in the life
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, image to assess and improve our AI modelās 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 AI. An inner drive, individuality, and a creative mind are extremely beneficial.
About the team
This is a full-time position based at our office location, Monday through Friday. Due to the nature of our business and the collaborative nature of our work, remote work options are not available for this role.
Are you ready to shape the future of human-technology interaction? Amazon is at the forefront of innovation, harnessing the power of generative AI to tackle some of societyās most pressing challenges. As we pioneer the responsible development and deployment of large language models (LLMs) across our diverse businesses, we invite visionary engineers to join our team. Amazon events throughout the year, AI Fundamentals, Diverse and Collaborative Team await for you.
Join Us! Be a part of Amazonās journey in shaping the future of AI and human-technology interaction. If you are passionate about pushing the boundaries of what AI can achieve and thrive in a collaborative environment, we encourage you to apply. Together, letās build a future where AI enhances the way we live and work.
Amazon is an equal opportunity employer and does not discriminate on the basis of race, ethnicity, gender identity, sexual orientation, age, or disability status.