Data Associate II Quality, ML Data Ops

Whenever a customer visits Amazon and types in a query or browses through product categories, Amazon Search services go to work. Our Search Ops team 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.

We are looking for highly motivated and talented candidates who will provide and/or review high quality data annotation for variety of workflows. The ideal candidate must demonstrate strong analytical & communication skills, attention to details, and a commitment to excellence.


Key job responsibilities
As a Data Associate II Quality, you will be responsible for providing timely and quality of data for a variety of workflows. The tasks will require the candidate to make quick decisions keeping in mind the provided guidelines. Your key responsibilities will include (but not limited to) the below:
Follow SOP/guidelines or managers instructions and ensure output is quality compliant
Contribute to project improvement and operational excellence ideas, as applicable
Analyze data and evaluate trends/ patterns and recommend generic pattern to be translated into rules
Troubleshoot issues related to process and conduct root cause analysis if required
Validate data based on specific annotation guidelines, ensuring the accuracy and quality of the collected information
Perform data collection and curation, ultimately resulting in the generation of high-quality data that can be utilized for AI models
Work closely with team members and managers to drive process efficiencies and explore opportunities for automation
Strive to enhance the productivity and effectiveness of the data generation and annotation processes
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 - Bachelors degree
- Speak, write, and read fluently in English
- Experience with Microsoft Office products and applications
- Experience with Excel