Amazon
10 months ago
ML Data Associate-II, Artificial General Intelligence
US, MA, Boston
Job Description
This job posting has expired and no longer accepting applications.
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 candidates who just don’t think outside the box, but make the box bigger.
The future is now. Do you want to be a part of it? Then read on!
Key job responsibilities
• Maintain and follow strict confidentiality guidelines as customer privacy is our top priority
• Work with a wide range of different types of data including but not limited to text, speech, image, and video
• Deliver high-quality labelled data, utilizing in-house tools, software, and guidelines to meet our Key Performance Indicators
• Serve as a subject matter expert for Machine Learning (ML) data workflows.
• Demonstrate proficiency in research, ranking responses based on factual and grammatical accuracy, and creating grammatically correct text, speech, image, and video annotation
• Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks.
• Rapidly switch from one category of work to another all while maintaining attention to detail
• Demonstrate expertise in handling end-to-end data execution processes related to LLM labelling tasks
• Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs
• Identify and escalate operational issues within day-to-day process, standard operating procedures and tools.
• Suggest ways to invent and simplify and/or unblock operational workflows
A day in the life
We are looking for a ML Data Associate (MLDA) to assess and improve our AI model’s performance in everyday situations by undertaking foundational labeling functions, such as dialogue evaluation on speech, text, audio, and video data. Your ability to concentrate, multi-task, and sustain a strong attention to detail allow you to deliver high-quality work as well as maintain strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be 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.
We are looking for candidates who just don’t think outside the box, but make the box bigger.
The future is now. Do you want to be a part of it? Then read on!
Key job responsibilities
• Maintain and follow strict confidentiality guidelines as customer privacy is our top priority
• Work with a wide range of different types of data including but not limited to text, speech, image, and video
• Deliver high-quality labelled data, utilizing in-house tools, software, and guidelines to meet our Key Performance Indicators
• Serve as a subject matter expert for Machine Learning (ML) data workflows.
• Demonstrate proficiency in research, ranking responses based on factual and grammatical accuracy, and creating grammatically correct text, speech, image, and video annotation
• Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks.
• Rapidly switch from one category of work to another all while maintaining attention to detail
• Demonstrate expertise in handling end-to-end data execution processes related to LLM labelling tasks
• Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs
• Identify and escalate operational issues within day-to-day process, standard operating procedures and tools.
• Suggest ways to invent and simplify and/or unblock operational workflows
A day in the life
We are looking for a ML Data Associate (MLDA) to assess and improve our AI model’s performance in everyday situations by undertaking foundational labeling functions, such as dialogue evaluation on speech, text, audio, and video data. Your ability to concentrate, multi-task, and sustain a strong attention to detail allow you to deliver high-quality work as well as maintain strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be 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.
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Amazon
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