Amazon Associate ML Data Operations GO-AI Operations Recruitment 2026 : Hai Friends , You are Looking for an Amazon work-from-home opportunity? Amazon has announced recruitment for the position of Associate, ML Data Operations, GO-AI Operations (Job ID: 3134253). This is an excellent opportunity for graduates who are detail-oriented and interested in AI, Machine Learning, Data Operations, and image/video auditing. The role is available in Bengaluru, Hyderabad (Virtual), Chennai (Virtual), Bangalore (Virtual), and Andhra Pradesh (Virtual).
Amazon Associate ML Data Operations GO-AI Operations Recruitment 2026 – Overview
| Particular | Details |
| Organization | Amazon |
| Job Role | Associate, ML Data Operations, GO-AI Operations |
| Job ID | 3134253 |
| Qualification | Bachelor’s Degree |
| Experience | Freshers & Experienced |
| Job Type | Contract (6 Months) |
| Work Mode | Work From Home / Hybrid / Office (As Applicable) |
| Job Locations | Bengaluru, Hyderabad (Virtual), Chennai (Virtual), Bangalore (Virtual), Andhra Pradesh (Virtual) |
| Shift | Rotational (Including Night Shifts) |
| Working Days | 5 Days Per Week |
| Salary | Best in Industry |
About the Role
The ML Data Operations Associate supports Amazon Robotics Fulfillment Centers by reviewing short videos and images to ensure inventory accuracy. Employees help improve Amazon’s AI and automation systems by carefully auditing visual data.
The role requires excellent attention to detail, quick decision-making, and the ability to maintain high productivity while ensuring quality standards.
Key Responsibilities
Selected candidates will be responsible for:
- Reviewing hundreds of short videos during every shift.
- Auditing image, video, and text-based tasks.
- Identifying product locations accurately.
- Using Amazon’s internal tools for marking and verification.
- Maintaining high quality and productivity targets.
- Following operational guidelines and standard procedures.
- Supporting Amazon Fulfillment Centers in maintaining inventory accuracy.
- Working effectively with remote teams.
Work From Home Requirements
Candidates working remotely should have:
- Dedicated workspace with table and chair.
- Proper lighting.
- Secure work environment.
- No unauthorized person accessing work-related data.
- Laptop camera enabled during virtual meetings when required.
Required Skills
Candidates should possess:
- Excellent observation skills.
- Strong attention to detail.
- Ability to identify objects in blurry videos.
- Basic computer knowledge.
- Good communication skills.
- Ability to meet productivity targets.
- Teamwork and collaboration skills.
- Flexibility to work rotational shifts.
- Willingness to work in a contract role.
Educational Qualification
Applicants must have:
- Bachelor’s Degree from a recognized university.
Preferred Qualification
Amazon prefers candidates who can:
- Work flexible schedules.
- Work weekends and holidays when required.
- Work rotational day and night shifts.
Work Schedule
- 9-hour shift (including scheduled breaks)
- 5-day working week
- Two consecutive rotational weekly offs
- Shift rotation every 3–4 months based on business requirements
- Night shift allowance as per Amazon policy
Apply Fast
Job Locations
The recruitment is open for the following locations:
- Bengaluru, Karnataka
- Bangalore (Virtual)
- Hyderabad (Virtual)
- Chennai (Virtual)
- Andhra Pradesh (Virtual)
Why Join Amazon?
Working with Amazon offers several advantages:
- Opportunity to work with global AI and Robotics teams.
- Exposure to Machine Learning Operations.
- Professional work environment.
- Industry-leading training.
- Competitive salary and benefits.
- Work From Home opportunities for eligible candidates.
- Career growth within Amazon.
Selection Process
The recruitment process may include:
- Application Screening
- Online Assessment (if applicable)
- Virtual Interview
- Document Verification
- Final Offer
How to Apply?
Interested candidates can apply through the official Amazon Careers portal by searching for:
Job ID: 3134253 – Associate, ML Data Operations, GO-AI Operations
Complete the online application form, upload your updated resume, and submit the application before the position closes.