Amazon
Company
5 months ago
ML Data Associate-II, Artificial General Intelligence
US, MA, Boston
Full-time
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 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!
Key job responsibilities
Maintain and follow strict confidentiality as customer privacy is our most
important tenet
- Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video
- Deliver 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.
- Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio.
- Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks.
- Eye for detail and ability to pivot from one category of requirement to another instantaneously.
- Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team
- Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs.
- Responsible for identifying day-to-day process and operational issues in Standard Operating Procedure, tools and suggest changes to unblock operations
- Demonstrate ownership in floor support to clarify internal queries during execution on need basis
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.
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
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!
Key job responsibilities
Maintain and follow strict confidentiality as customer privacy is our most
important tenet
- Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video
- Deliver 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.
- Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio.
- Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks.
- Eye for detail and ability to pivot from one category of requirement to another instantaneously.
- Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team
- Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs.
- Responsible for identifying day-to-day process and operational issues in Standard Operating Procedure, tools and suggest changes to unblock operations
- Demonstrate ownership in floor support to clarify internal queries during execution on need basis
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.
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
Please mention that you found this job on MoAIJobs, this helps us grow. Thank you!
Amazon
599 jobs posted
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