Job Article: Data Associate I at Amazon
Company: Amazon
Job Title: Data Associate I
Job ID: 2698673
Location: ADCI - Karnataka
Introduction
Amazon, a name synonymous with innovation and customer-centricity, is seeking talented individuals to join its team as a Data Associate I. This position is an exciting opportunity for those passionate about data annotation and artificial intelligence (AI) while contributing to enhancing the customer experience through advanced search services. This role is located at ADCI - Karnataka, India.
About the Role
When a customer visits Amazon to search for products or browse categories, Amazon Search services work behind the scenes to deliver relevant and accurate results. The Human Labeled Data (HLD) organization plays a critical role in this process, delivering high-quality data annotation to improve the AI and machine learning (ML) models powering these search services.
As a Data Associate I, you will support Amazon’s vision to create business value by providing high-quality data at scale. Your contributions will directly influence the search experience for millions of customers globally by ensuring accurate labeling of products targeted by various search queries.
Key Responsibilities
As a Data Associate I, you will:
Deliver Quality Data Annotation: Provide and review accurate data annotation for multiple workflows, ensuring adherence to guidelines and standards.
Meet Performance Metrics: Achieve business goals related to service level agreements (SLAs), production targets, and quality standards.
Maintain Workflow Records: Update trackers and workflow tools as part of daily tasks.
Follow Standard Operating Procedures (SOPs): Work independently and ensure outputs comply with quality and procedural guidelines.
Engage in Process Improvement: Contribute ideas for enhancing project performance and operational excellence.
Ensure Timely Communication: Respond promptly to stakeholders, adhering to defined SLAs and SOPs.
Raise Operational Concerns: Proactively report issues or risks impacting deliverables to managers or stakeholders.
Analyze Data: Identify trends and patterns, recommending rules based on generic patterns.
Handle Sensitive Content: Work with potentially sensitive materials, including adult content, religious or philosophical topics, and other sensitive categories.
Troubleshoot Processes: Conduct root cause analysis for operational issues when necessary.
Leverage E-commerce Knowledge: Apply a strong understanding of online retail environments to enhance workflow performance.
Required Qualifications
Bachelor’s degree in any discipline.
Proficiency in English (spoken, written, and reading).
Familiarity with Microsoft Office tools and applications.
Preferred Qualifications
Advanced knowledge of Microsoft Excel.
Why Join Amazon?
Amazon’s inclusive culture empowers employees to innovate and deliver exceptional results for customers. By joining the team, you will:
Work with Cutting-edge Technology: Be part of a team improving AI and ML models driving search services.
Contribute to a Global Vision: Enhance the customer experience for millions worldwide through high-quality data.
Collaborate with Experts: Work closely with ML applied science teams specializing in semantic matching, ranking, computer vision, and augmented reality.
Develop Your Skills: Gain hands-on experience in data annotation, analytics, and e-commerce workflows.
Commitment to Diversity and Inclusion
Amazon is an equal-opportunity employer committed to providing accommodations for applicants with disabilities. If you require adjustments during the application or hiring process, support is available. Visit the Amazon accommodations page or contact your recruiting partner for assistance.
Conclusion
The role of Data Associate I at Amazon offers a unique opportunity to work in a dynamic environment at the intersection of technology and customer experience. If you are analytical, detail-oriented, and excited about contributing to the next generation of AI-driven services, this position is perfect for you.
Explore this career-defining opportunity and take the first step toward becoming part of Amazon’s legacy of innovation. Apply now and be a part of a team that is shaping the future of e-commerce.
Apply Link : Click Here