Data Associate I Opportunity 2025 | Amazon is hiring Data Associate I. The working location is Bangalore, India. Interested candidates can apply online as soon as possible. The detailed eligibility and application process are given below.
Data Associate I Opportunity at Amazon| Bangalore – Overview
| Company Name: | Amazon |
| Job Role: | Data Associate I |
| Location: | Bangalore |
| Work Mode: | On-site |
| Last Date to Apply: | ASAP |
Job Description
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.
Skills Required:
- – Bachelor’s degree
- – Speak, write, and read fluently in English
- – Experience with Microsoft Office products and applications
- – Knowledge of Excel at an advanced level
Responsibility:
- As a Data Associate I, ML, you will be responsible for providing timely and quality data annotation for a variety of workflows. The tasks therefore will be repetitive in nature and 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:
• Meets business metrics and goals, i.e., SLA, production, and quality targets
• Works with minimal direction
• Maintains records of day- to-day work by updating trackers or workflow tools as necessary
• Follows SOP/guidelines or manager’s instructions and ensures output is quality compliant
• Contributes to project improvement and operational excellence ideas, as applicable
• Responsible for giving timely responses to stakeholders on related tasks with guidance, i.e., as per SOP and defined SLA
• Proactively raises issues /alarms that may have an impact on core deliverables or operations to manager or stakeholders
