The Amazon Freshers Hiring 2026 for ML Data Operations Associate Job is one of the most promising entry-level opportunities for graduates looking to build a career in data operations, AI support, and non-technical roles. Amazon is actively recruiting candidates for its GO-AI Operations team at Hyderabad location.
This job is ideal for candidates who want to work in a fast-paced environment supporting AI and automation processes used in fulfilment centres. In this comprehensive guide, you will get complete details including eligibility, salary, job responsibilities, selection process, and how to apply.
Table of Contents
Overview of Amazon Freshers Hiring 2026
| Particulars | Details |
|---|---|
| Company Name | Amazon |
| Job Role | ML Data Operations Associate |
| Job ID | 3187738 |
| Qualification | Bachelor’s Degree |
| Experience | Fresher |
| Job Location | Hyderabad |
| Employment Type | Contract (6 Months) |
| Shift | Rotational (24×7) |
| Industry | IT / BPM / AI Operations |
About Amazon Company
Amazon is one of the world’s largest technology companies, known for innovation in e-commerce, cloud computing, artificial intelligence, and logistics.
Key highlights:
- Founded by Jeff Bezos
- Presence in 100+ countries
- Leader in AI, cloud (AWS), and automation
- Strong employee-centric work culture
Working at Amazon gives you exposure to advanced technologies and global operations.
Amazon ML Data Operations Associate Job Description
The Amazon ML Data Operations Associate role focuses on supporting automation in fulfillment centers through video and image auditing.
Core Work
- Watch short videos (15-20 seconds) of warehouse operations
- Identify and verify product placement
- Mark product locations using tools
- Ensure high accuracy in data labeling
- Support AI model improvement through human judgment
This is a non-technical yet highly detail-oriented role.
Key Responsibilities Of Amazon Freshers Hiring 2026
1. Video & Image Auditing
- Review hundreds of videos per shift
- Analyze stowing actions in warehouses
- Identify product details even in low-quality visuals
2. Data Accuracy & Quality
- Maintain high accuracy standards
- Follow SOPs strictly
- Ensure defect reduction
3. Productivity Goals
- Meet daily targets
- Balance speed with accuracy
- Maintain consistent performance
4. Team Collaboration
- Work in remote and office setups
- Participate in virtual meetings
- Follow team guidelines
Skills Required for Amazon Freshers Hiring 2026
Technical Skills
- Basic computer operations
- Familiarity with digital tools
- Ability to analyze video/image data
Analytical Skills
- Attention to detail
- Observation skills
- Decision-making ability
Soft Skills
- Good communication skills
- Time management
- Adaptability
- Team collaboration
Eligibility Criteria
To apply for Amazon Freshers Hiring 2026, candidates must meet:
Educational Qualification
- Bachelor’s Degree in any discipline
Experience
- Freshers eligible
Other Requirements
- Comfortable with rotational shifts
- Willingness to work in non-tech role
- Ability to handle repetitive tasks
Work Environment & Shift Details
Shift Information
- 24×7 rotational shifts
- 9-hour working shift (including breaks)
- Shift changes every 3-4 months
Weekly Offs
- 2 consecutive days off (rotational)
Work Setup
- Work from office or hybrid
- WFH requires:
- Dedicated workspace
- Proper lighting
- No external access to work data
Salary Structure & Benefits
Although Amazon has not officially disclosed salary:
Expected Salary
- ₹3 LPA to ₹5 LPA
Additional Benefits
- Night shift allowance
- Work flexibility
- Exposure to AI operations
- Skill development opportunities
- Performance-based growth
Why Choose Amazon ML Data Operations Role?
1. Entry into AI Industry
Work closely with automation and machine learning support systems.
2. Strong Brand Value
Experience at Amazon boosts your career profile.
3. Skill Enhancement
Learn:
- Data auditing
- Content analysis
- Quality control
4. Career Growth Opportunities
- Data Analyst
- Quality Specialist
- Operations Manager
A Day in the Life of an Associate
- Start shift and log into system
- Review multiple short videos
- Mark product placement accurately
- Maintain speed and accuracy
- Attend team meetings
- Complete targets
This role requires continuous focus and consistency.
Selection Process Of Amazon Freshers Hiring 2026
The Amazon recruitment process for ML Data Operations Associate includes:
Step 1: Online Application
Submit your profile through official portal.
Step 2: Assessment Test
- Logical reasoning
- Attention to detail test
Step 3: Interview Round
- HR Interview
- Operations Interview
Step 4: Offer Letter
Selected candidates receive joining details.
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Documents Required
- Resume
- Aadhar Card
- PAN Card
- Educational Certificates
- Bank Details
How to Apply for Amazon Hiring Freshers 2026
Follow these steps carefully:
- Visit the official Amazon Jobs website
- Search for “ML Data Operations Associate Job ID 3187738”
- Click on the job listing
- Create or login to your account
- Fill in required details
- Upload updated resume
- Submit application
SOME USEFUL IMPORTANT LINKS
| Apply Online Link | Click Here |
| Official Website | Click Here |
| Latest Work From Home Jobs | Click Here |
Important Tips
- Use keyword-optimized resume
- Highlight analytical skills
- Prepare for assessment tests
Disclaimer
This article is published for informational purposes only. We do not provide recruitment services or guarantee job placement. Candidates should apply only through official Amazon career portals. Beware of fraudulent job offers.
Frequently Asked Questions (FAQ)
Q1. What is the role of ML Data Operations Associate in Amazon?
The role involves reviewing videos/images and verifying product placement for AI systems.
Q2. Is Amazon hiring freshers for this role?
Yes, freshers with a bachelor’s degree can apply.
Q3. What is the salary for this role?
Expected salary ranges between ₹3 LPA to ₹5 LPA.
Q4. Is this a work from home job?
It can be hybrid; some candidates may work from home with setup requirements.
Q5. Are night shifts required?
Yes, rotational shifts including night shifts are part of the job.
Q6. What skills are required?
Attention to detail, analytical skills, and basic computer knowledge.
