Amazon Associate ML Data Operations Jobs 2026 | GO-AI Operations | Freshers
Amazon Associate ML Data Operations Jobs 2026 | GO-AI Operations | Freshers
Amazon is hiring Associates for its ML Data Operations team under GO-AI Operations. The team supports Amazon Robotics and fulfillment centers through image and video audits that help improve inventory accuracy and stowing quality.
This is an operational, non-technical contract role involving the review of short videos and images, identifying product locations, and recording accurate responses using internal tools and established guidelines.
Quick Job Details
| Company | Amazon |
| Job Role | Associate, ML Data Operations, GO-AI Operations |
| Qualification | Bachelor’s degree |
| Experience | Freshers |
| Eligible Batch | Any/Recent |
| Location | India |
| Work Mode | Not specified; work-from-home arrangements may apply to some hires |
| Job Type | 6-month contract |
| Salary | Not specified by the employer. |
| Job ID | 3134253 |
| Shift | Rotational shifts, including night shifts |
Role Overview
The Associate reviews videos of stowing activities at fulfillment centers and uses human judgment and internal tools to identify or verify product locations. The work helps maintain inventory accuracy, improve stowing quality, and support automated fulfillment operations.
Key Responsibilities
- Review hundreds of short videos during a shift.
- Identify activities and product locations shown in videos or images.
- Use internal tools to mark or verify product locations accurately.
- Audit image, video, and text-based tasks according to established guidelines.
- Meet quality, productivity, and accuracy targets.
- Identify details in blurry or less-sharp videos.
- Follow prescribed break schedules and operational practices.
- Participate in performance feedback and continuous improvement activities.
Eligibility & Required Skills
- Bachelor’s degree.
- Willingness to work in a non-technical role for the six-month contract duration.
- Strong attention to detail and sustained focus on screen-based work.
- Ability to review images and videos and make accurate judgments.
- Ability to work toward incremental quality and productivity targets.
- Willingness to work rotational shifts, including nights, weekends, or holidays as required.
- Ability to collaborate with remote teams.
- For work-from-home arrangements, maintain a dedicated workspace and protect work-related information.
- Willingness to attend the office when required and switch on the laptop camera during virtual meetings.
Salary & Career Information
Salary: Not specified by the employer. Amazon states that a night-shift allowance is provided according to applicable company policy when employees work night shifts. The role offers experience in data auditing, quality control, operational accuracy, and fulfillment processes.
Recommended Skills & Learning Resources
Develop attention to detail, visual inspection, computer literacy, accuracy, time management, and the ability to follow detailed operational procedures.
Interview Preparation
Prepare to discuss accuracy, concentration, handling repetitive tasks, meeting productivity targets, rotational shift flexibility, confidentiality, and working independently under supervision.
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How to Apply for Amazon Associate ML Data Operations
Interested graduates can apply online through the official Amazon Jobs portal using Job ID 3134253. Review the contract duration, shift requirements, and work arrangements before applying.
1. What qualification is required for the Amazon ML Data Operations role?
The basic qualification is a Bachelor’s degree.
2. Is this a technical job?
No. The listing describes it as an operational, non-technical role focused on reviewing and auditing images and videos.
3. Are night shifts required?
Associates work in a 24/7 environment with rotational shifts, which may include night shifts. Night-shift allowance is provided according to applicable Amazon policy.
This Amazon opportunity may suit graduates who are comfortable with focused screen-based work, rotational shifts, quality targets, and a six-month contract.
