Amazon Off Campus Drive 2024-25 | Data Associate I | Hiring for 2021 to 2025 Batch
Table of Contents
Company: Amazon
Position: Data Associate I
Location: Bangalore, Karnataka
Batch: 2021, 2022, 2023, 2024, and 2025
About the Role
Amazon’s search services are essential in ensuring customers find what they need quickly and efficiently. Behind this smooth experience lies the effort of the Human Labeled Data (HLD) organization, which helps enhance Amazon’s AI/ML search models by providing top-quality data annotations.
The Data Associate I position is an exciting opportunity to be part of this mission. Selected candidates will contribute to improving Amazon’s AI models through data labeling tasks that directly impact customer satisfaction. The role is best suited for those who are detail-oriented, analytical, and committed to operational excellence.
If you are passionate about working in a dynamic tech-driven environment and want to help shape better search experiences for millions of customers, this could be your ideal career start.
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Salary Details
Candidates selected for the Data Associate I role can expect a starting salary ranging from ₹3.5 LPA to ₹4.0 LPA depending on skills, performance in the interview process, and final negotiations.
Additional benefits include performance bonuses, health insurance, and employee discounts available to Amazon employees.
Educational Qualifications
To be eligible for this role, candidates must meet the following criteria:
- Minimum Qualification: Bachelor’s Degree in any discipline from a recognized university.
- Batch: Graduates from the 2021, 2022, 2023, 2024, and 2025 batches are eligible.
- Skills Required:
- Proficiency in reading, writing, and speaking English.
- Familiarity with Microsoft Office products, particularly Excel.
- Attention to detail, analytical ability, and commitment to quality.
Preferred Qualification:
- Advanced knowledge of Microsoft Excel (use of functions like VLOOKUP, Pivot Tables, and Data Analysis tools).
Key Responsibilities
As a Data Associate I, your daily tasks will include:
- Annotating data accurately based on provided guidelines.
- Meeting production, quality, and service-level agreement (SLA) targets.
- Following Standard Operating Procedures (SOPs) and manager instructions.
- Analyzing data patterns and recommending improvements.
- Maintaining trackers and reporting day-to-day work progress.
- Addressing sensitive content (adult material, weapons, religious content, etc.) when needed.
- Escalating issues or potential risks to managers as soon as identified.
This position demands precision, speed, adaptability, and the ability to work with minimal supervision.
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Application Process
Candidates interested in applying must follow these steps:
- Online Registration:
Visit the official Amazon Careers page or click the provided application link to fill in your basic details and upload your updated resume. - Resume Screening:
Applications will be reviewed by the recruitment team based on educational background and skills mentioned. - Assessment Test:
Shortlisted candidates will be invited to take an online test assessing logical reasoning, language proficiency, and basic data annotation capabilities. - Interview Round:
- Technical/Operational Round: Questions will be focused on understanding data patterns, using Excel, and the ability to follow instructions and SOPs.
- Managerial Round: Will assess communication skills, decision-making abilities, and fit for the role.
- Offer and Onboarding:
Candidates who clear all stages will receive an offer letter followed by onboarding instructions.
Interview Process
Here’s a brief look at the interview structure:
- Online Assessment Test: Aptitude + Data Annotation Simulation
- Technical/Operational Interview: Understanding work guidelines, data trends, and basic MS Excel functionality.
- HR Discussion: Workplace culture fit, shift flexibility, willingness to handle sensitive content.
Make sure you practice common aptitude questions, familiarize yourself with Excel shortcuts, and understand Amazon’s Leadership Principles to stand out during interviews.
Benefits of Working at Amazon
- Competitive Salary Package
- Employee Health and Wellness Benefits
- Opportunities for Skill Growth and Career Advancement
- Exposure to AI/ML Projects in a Global Tech Environment
- Inclusive and Diverse Workplace Culture
- Work-life Balance Initiatives
- Employee Discount on Amazon purchases
- Learning Opportunities Through Amazon Training Programs
Being part of Amazon’s vibrant workforce opens doors to new learning, growth, and meaningful work in the AI/ML space.
Apply Now: Click Here
Important Note
- This post is purely for informational purposes only.
- Only applications submitted through official Amazon career portals will be considered.
- Candidates are advised to double-check eligibility criteria before applying.
Conclusion
The Amazon Off Campus Drive 2024-25 for the Data Associate I role is an excellent opportunity for graduates looking to kick-start their career in the data and AI industry. With a strong brand like Amazon, not only will you gain valuable experience but also build a solid foundation for future career growth.
If you are ready to work on exciting AI/ML projects, sharpen your analytical skills, and be part of a team making a real-world impact, apply now and move one step closer to your dream career!