Data Associate Ii
1 week ago
Whenever a customer visits Amazon and types in a query or browses through product categories, Amazon Search services go to work.
Human Labeled Data (HLD) organization helps Search services in providing a better customer search experience by delivering quality data annotation to help improve AI/ML models driving these services.
Our vision is to create business value by delivering high quality data at scale.We look to provide easy and scalable labeling solution to support search that are high quality, cost efficient, and secure.
Our vision is to enable improvement in the search experience for our customers, by accurately determining labels for products targeted by the search queries received.
We collaborate closely with several machine learning (ML) applied science teams that develop and test ML models to improve the quality of semantic matching, ranking, computer vision, image processing, and augmented reality.
Key job responsibilities- Works on complex processes and provides high quality data annotation
- Operates with autonomy
- Leverages / demonstrates expertise in handling endto
- Trains new hires on process tasks and provides feedback to the training team to customize training modules, if applicable
- Performs audits and quality checks of tasks completed by junior associates, if required
- Creates standard defined reports, i.e., weekly, monthly process reports for internal team's consumption
- Identifies issues and proactively reports operational challenges
- Contributes to root cause analysis and escalation management
- Creates, updates and follows SOP/flow of processes
- Identifies process improvement opportunities (enhancements and pain points) at process/ function level
- Demonstrates the ability to handle smallscale process improvement projects
- Communicates to external stakeholders on predefined guidelines with data and resolves issues with mínimal guidance
- Contribute in mentoring / training junior data associates on an ongoing basis
- Willingness to work with sensitive issues, including but not limited to: Adult content, Religious and philosophically sensitive issues, tobacco, weapons and other potentially offensive products
- Troubleshooting issues related to process and conduct root cause analysis if required
Basic to Intermediate level of Excel skills - Familiarity with online retail (e-commerce industry) - Experience in detailed web search and content classification - Working knowledge of SQL and Machine learning will be an added advantage
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