Amazon
Company
ML Data Associate III, AGI-INFO Product-DREAM
US, CA, Sunnyvale
Job Description
This job posting has expired and no longer accepting applications.
DESCRIPTION
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.
PURPOSE OF THE JOB:
The Machine Learning Data Associate (MLDA) will raise the bar for data quality across the org through multiple workflows. Work closely with internal and external data partners to ensure we receive the best quality data for training and evaluation of our LLM's.
KEY RESPONSIBILITIES:
- Performs straightforward tasks and procedures related to multiple ML data process areas.
- Understands ML data workflows and data collection methodologies.
- Verifies metrics (task, system performance, etc) accuracy and makes sure workflows are equally compliant.
- Supports new-tool onboarding (operationalized and bootstrapped interfaces).
- Helps define requirements (e.g. tools, training material, guidelines, data collection protocol, quality check etc.)
- Identifies process variations in known work types and drives standardization.
- 2+ years of experience working with data annotation and quality assurance
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.
PURPOSE OF THE JOB:
The Machine Learning Data Associate (MLDA) will raise the bar for data quality across the org through multiple workflows. Work closely with internal and external data partners to ensure we receive the best quality data for training and evaluation of our LLM's.
KEY RESPONSIBILITIES:
- Performs straightforward tasks and procedures related to multiple ML data process areas.
- Understands ML data workflows and data collection methodologies.
- Verifies metrics (task, system performance, etc) accuracy and makes sure workflows are equally compliant.
- Supports new-tool onboarding (operationalized and bootstrapped interfaces).
- Helps define requirements (e.g. tools, training material, guidelines, data collection protocol, quality check etc.)
- Identifies process variations in known work types and drives standardization.
- 2+ years of experience working with data annotation and quality assurance
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