The Amazon Recruitment 2025 drive has opened a new opportunity for graduates looking to build a career in operations, quality control, and data auditing. Amazon is hiring for the role of Associate, ML Data Operations (GO-AI Operations), a position that plays a crucial part in supporting automation within Amazon’s cutting-edge Robotics Fulfillment Centers. This latest off campus drive is ideal for candidates who want to work in a fast-paced, detail-oriented role within one of the world’s most influential technology companies.
With Amazon continuing to expand its global fulfillment network, this position offers a chance to contribute directly to operational excellence while gaining hands-on experience with video and image auditing systems used in robotics-enabled warehouses.
Amazon Recruitment 2025
| Category | Details |
|---|---|
| Company Name | Amazon (ADCI Maharashtra) |
| Job Role | Associate – ML Data Operations, GO-AI Operations |
| Qualification | Bachelor’s degree |
| Experience | Freshers eligible |
| Location | Maharashtra |
| Salary | ₹3.5 LPA – ₹5 LPA |
Job Overview
The Associate, ML Data Operations role focuses on reviewing and analyzing short video clips recorded inside Amazon’s Robotics Fulfillment Centers. These videos capture stowing actions—how products are placed into inventory locations. The associate uses specialized tools to verify product placement, mark locations, and ensure accuracy.
This position demands strong observational skills, focus, and a willingness to work with repetitive yet impactful tasks. The outcomes of these audits help the fulfillment centers maintain high-quality inventory records and improve the efficiency of automated systems.
Key Responsibilities
The role involves performing extensive video and image audits with accuracy and consistency. Key responsibilities include:
- Reviewing several hundred short videos per shift and marking product locations using internal tools.
- Meeting performance goals related to accuracy, productivity, and audit quality.
- Using human judgment to identify details in videos that may be blurry or unclear.
- Ensuring high attention to detail while working on repetitive tasks.
- Maintaining a dedicated, distraction-free workspace for those working from home.
- Following predefined break schedules and spending approximately 6.8 to 7 hours per day actively answering video audits.
- Complying with work policies, including using a camera during virtual meetings and maintaining data confidentiality.
This is a purely operational role where precision and consistency directly impact fulfillment center performance.
Skills Required
Candidates applying through the Amazon off campus hiring program should possess:
- Strong focus and attention to detail while watching video and image content.
- Ability to interpret and audit visuals even when footage lacks clarity.
- Willingness to work in a non-technical role for a contract duration of six months.
- Ability to work in rotational shifts, including night shifts.
- Readiness to meet incremental performance targets and adapt to fast-paced workflows.
- Capacity to collaborate effectively in remote teams.
- Flexibility to visit the office occasionally, depending on business requirements.
A Day in the Life
Associates will work in a 24×7 operational environment with rotating shifts. Every shift lasts nine hours, including scheduled breaks. Shift timings may change every 3–4 months depending on business needs.
Those assigned to night shifts receive night shift allowances as per Amazon’s policies. Associates follow a five-day workweek structure with two consecutive weekly offs, though these may not always fall on weekends. Each day involves consistent video auditing work that contributes directly to inventory accuracy and robotics performance within fulfillment centers.
About the GO-AI Operations Team
The Data Auditing Operations team supports Amazon Fulfillment Centers by reviewing short video clips, typically between 15 and 20 seconds. These clips capture product stowing processes that must be carefully validated by human auditors. By applying human judgment to identify products and verify placements, the team strengthens the effectiveness of automated systems.
This combination of automation and human oversight enables Amazon to maintain high-quality stow operations across large-scale warehouses. Associates also receive ongoing performance evaluations and coaching for further improvement.
Why Join Amazon?
Joining Amazon through the Amazon Recruitment 2025 hiring cycle provides several career advantages:
- Opportunity to work with cutting-edge automation and robotics technologies.
- Exposure to global-quality operational systems and performance standards.
- An inclusive, supportive workplace that encourages learning and growth.
- A role that enhances attention-to-detail and operational expertise—valuable skills across industries.
- Competitive compensation and shift allowances.
- A stable and structured environment suitable for fresh graduates looking to begin their careers.
Amazon’s focus on innovation, operational excellence, and inclusiveness makes it a compelling choice for early professionals seeking meaningful workplace experience.
Salary Details
The salary for the Associate, ML Data Operations position is offered as per Amazon’s internal standards. Candidates working in night shifts receive additional night shift allowance based on company policy. Compensation remains aligned with Amazon’s reputation for competitive pay within the operations sector.
Hiring Location
This role is based in Maharashtra, within Amazon’s ADCI (Amazon Development Center India) office. Work-from-home opportunities may be provided depending on business needs, but candidates should be prepared for occasional office visits.
How to Apply
Candidates interested in this position can apply directly through the official Amazon Careers website by searching for Job ID: 3134249 or navigating to the ML Data Operations section. Applicants should ensure that their resume highlights analytical skills, attention to detail, and readiness to work in rotational shifts.
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Note: Amazon also provides support for candidates who may require accommodations during the hiring process. Information regarding workplace adjustments is available on the careers page.
About Amazon
Amazon is a global leader in e-commerce, cloud services, robotics, logistics, and digital innovation. Its Fulfillment Technologies and Robotics divisions are responsible for developing the advanced automation systems that power Amazon’s vast network of fulfillment centers. Through machine learning, computer vision, and robotics, Amazon continues to push the boundaries of operational efficiency.
The GO-AI Operations team forms a crucial bridge between humans and automated systems, ensuring that human judgment enhances the accuracy and performance of these technologies. The company’s inclusive culture, leadership principles, and commitment to customer obsession make it an excellent workplace for fresh graduates and early-career professionals.
