Amazon Recruitment Freshers For Data Associate Role - Work From Home
About Role and Company:
At Amazon, every customer’s query sets our powerful Search services in motion, delivering relevant product results that enhance the shopping experience. A key player in this process is our Human Labeled Data (HLD) organization, which ensures high-quality data annotations to refine the AI/ML models behind Amazon Search.
Our mission is to drive business value by delivering accurate, large-scale data labeling, enhancing search relevance for customers. We strive to provide an efficient, scalable, and secure labeling process that meets rigorous quality standards. By accurately labeling products to match customer search intent, we improve the search experience and relevance of results. HLD collaborates closely with Amazon's ML applied science teams, supporting advancements in semantic matching, ranking, computer vision, image analysis, and augmented reality.
Who We’re Looking For:
We seek motivated, talented candidates passionate about contributing to data annotation excellence across various workflows. Ideal candidates should demonstrate strong analytical thinking, effective communication skills, attention to detail, and a commitment to high-quality work.
This role offers an opportunity to be a part of Amazon’s commitment to innovation and customer satisfaction, directly influencing the search experience of millions worldwide. Join us in shaping the future of Amazon Search by enabling accurate, data-driven improvements to customer queries and product matching.
Job Description:
- In the role of Data Associate I, specializing in Machine Learning, you will be essential to ensuring accurate and high-quality data annotation across diverse workflows. This role involves performing repetitive tasks with efficiency and accuracy, guided by specific instructions and protocols. Quick decision-making in line with provided guidelines will be essential.
- Achieving Targets: Meet established business metrics such as Service Level Agreements (SLAs), production, and quality standards.
- Independent Workflow: Operate with minimal supervision and manage daily tasks using trackers or workflow tools.
- Adherence to Guidelines: Follow Standard Operating Procedures (SOPs), guidelines, or manager’s directions to ensure quality-compliant outputs.
- Operational Excellence: Offer suggestions for process improvements or contribute to operational efficiency as needed.
- Timely Stakeholder Communication: Respond promptly to related tasks within SOP guidelines and SLAs, addressing any stakeholder queries.
- Issue Escalation: Raise issues that may impact deliverables or operations to managers or relevant stakeholders.
- Data Analysis: Evaluate data trends and patterns, and suggest generalizable rules based on these observations.
- Handling Sensitive Content: Comfortable working with content related to sensitive issues, including adult material, religious content, and other potentially sensitive items.
- Problem Solving: Troubleshoot process-related issues, performing root cause analysis when required.
- E-commerce Familiarity: A solid understanding of online retail and e-commerce processes.
- This role is ideal for detail-oriented candidates capable of delivering consistent results, meeting productivity and quality goals, and contributing to an effective data-driven workflow.
Job Overview:
- Position: Data Associate
- Employment Type: Work from home
- Education Required: Bachelor's & Master's Degree
- Experience Required: Freshers
- Duration: Permanent
- Compensation: Up to 4.2 - 6.8 LPA (Expected)
- Job Location: Remote, India.
- Language Proficiency: Fluent in spoken, written, and reading English, with excellent communication skills.
- Microsoft Office Expertise: Familiarity with Microsoft Office Suite, with practical experience across applications.
- Advanced Excel Skills: Proficiency in Excel, including complex functions, data analysis, and advanced formula usage.
- Bachelor's Degree Required.
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