Are you a recent graduate looking to begin your career with one of the world’s leading technology companies? The latest Amazon Recruitment 2026 drive offers an excellent opportunity for freshers through the Associate, ML Data Operations (GO-AI Operations) role. This position is based at the Amazon Development Center in Hyderabad and is ideal for candidates interested in data operations, artificial intelligence (AI), machine learning (ML), and quality auditing.
As an Associate, ML Data Operations, you will support Amazon’s Robotics Fulfillment Centers by reviewing image and video data to improve inventory accuracy and automation systems. This role is perfect for graduates who have strong attention to detail, excellent observation skills, and the ability to work in a fast-paced operational environment.

If you are searching for Amazon Off Campus Drive 2026, Amazon Freshers Hiring, ML Data Operations Jobs, or AI Operations Careers, this opportunity could be the perfect start to your professional journey.
Amazon Recruitment 2026 for Associate
| Particulars | Details |
|---|---|
| Company Name | Amazon |
| Job Role | Associate, ML Data Operations |
| Department | GO-AI Operations |
| Job ID | 3134242 |
| Qualification | Bachelor’s Degree |
| Experience | Freshers |
| Job Location | Hyderabad |
| Employment Type | Contract (6 Months) |
| Work Schedule | Rotational Shifts |
| Expected Salary | ₹3.8 LPA – ₹5.5 LPA* |
| Apply Mode | Online |
Note: Amazon has not officially disclosed the salary. The expected salary range is based on similar entry-level operational roles and may vary depending on location and business requirements.
Key Responsibilities
As an Associate, ML Data Operations, you will be responsible for maintaining the quality of visual data used in Amazon’s automation systems.
Video and Image Auditing
- Review hundreds of short videos and images during each shift.
- Analyze product placement and stowing activities inside fulfillment centers.
- Identify inventory locations with high accuracy.
Data Verification
- Verify products using internal auditing tools.
- Ensure data accuracy to improve machine learning models.
- Reduce operational defects through careful validation.
Quality and Productivity
- Meet daily quality and productivity targets.
- Follow Standard Operating Procedures (SOPs) during every audit.
- Maintain consistent performance and attention to detail.
Issue Identification
- Detect inconsistencies in image and video data.
- Handle blurry or low-quality visuals using careful observation and judgment.
- Support continuous improvement of automation processes.
Team Collaboration
- Work with remote and on-site operational teams.
- Participate in virtual meetings and maintain professional communication.
- Escalate operational issues whenever required.
Skills Required
Amazon is looking for candidates with strong observation skills, accuracy, and the ability to work in operational environments.
Technical Skills
- Basic computer proficiency
- Data auditing concepts
- Image and video analysis
- Attention to visual details
- Ability to work with internal software tools
Soft Skills
- Strong analytical thinking
- Excellent attention to detail
- Time management
- Communication skills
- Team collaboration
- Adaptability
- Ability to work under deadlines
Additional Requirements
- Ability to work rotational shifts, including night shifts
- Comfortable reviewing image, video, and text-based content
- Willingness to work from the office when required
- Dedicated work-from-home setup (if applicable)
Salary Details
Amazon has not officially announced the salary package for this role. However, based on industry trends for similar operational positions, candidates can expect competitive compensation.
Expected Salary
- ₹3.8 LPA – ₹5.5 LPA (Expected)
Additional Benefits
- Night shift allowance
- Performance-based incentives
- Training and development programs
- Internal career growth opportunities
- Employee wellness initiatives
The final salary will depend on Amazon’s compensation policy and the candidate’s selection process.
Eligibility Criteria
Candidates interested in applying for the Amazon Recruitment 2026 drive should meet the following requirements:
Educational Qualification
- Bachelor’s Degree from a recognized university
Experience
- Freshers are eligible to apply
- No prior work experience is mandatory
Additional Requirements
- Willingness to work a 6-month contract
- Comfortable with rotational shifts, weekends, and holidays
- Ability to maintain high levels of quality and productivity
Selection Process
The Amazon hiring process generally includes:
- Online Application
- Resume Screening
- Online Assessment
- Virtual or Technical Interview
- HR Interview
- Document Verification
- Final Offer
Candidates should prepare aptitude questions, communication skills, attention-to-detail exercises, and scenario-based operational questions.
How to Apply
Interested candidates can apply through the official Amazon Jobs portal.
Steps to Apply
- Visit the Amazon Careers website.
- Search for Job ID: 3134242.
- Read the complete job description carefully.
- Click on Apply Now.
- Complete the online application form.
- Upload your latest resume.
- Submit your application.
Candidates are encouraged to apply early, as hiring may close once sufficient applications are received.
Amazon Apply Link:Â Click Here
Final Summary
The Amazon Recruitment 2026 drive for the Associate, ML Data Operations (GO-AI Operations) role is an outstanding opportunity for fresh graduates interested in AI-enabled operations, data auditing, and machine learning support. Working on Amazon’s Robotics Fulfillment projects will provide valuable experience in image analysis, quality assurance, and automation processes.
With an expected salary of ₹3.8 LPA to ₹5.5 LPA, rotational shift benefits, exposure to cutting-edge technologies, and career growth opportunities, this Amazon Off Campus Drive 2026 is an excellent opportunity for candidates looking to build a career with a global technology leader.
If you meet the eligibility criteria, apply online today and begin your journey with Amazon.


