Amazon Hiring 2025: Associate, ML Data Operations – Skills, Eligibility, Salary & How to Apply - TechyForever

Starting your career with a global company like Amazon can give you unmatched exposure to large-scale systems, disciplined work culture and long-term career value. Amazon is currently hiring Associate, ML Data Operations (GO-AI Operations) for its Development Center in India. This opportunity is especially suitable for graduates and freshers who are looking for a structured, process-driven role in a high-impact operations environment.

If you are detail-oriented, comfortable working with data and willing to work in rotational shifts, this role is worth checking.

About the Company

Amazon is one of the world’s largest and most influential technology-driven organizations, operating across e-commerce, cloud computing, logistics, artificial intelligence and robotics. Amazon Development Center India plays a critical role in supporting global operations, automation and innovation.

Within Amazon, the GO-AI Operations and ML Data Operations teams support Amazon Robotics Fulfillment Centers by combining human judgment with machine learning systems. Their work directly improves inventory accuracy, automation quality and overall customer experience.

Job Overview

The Associate, ML Data Operations role is an operations-focused, non-technical position that supports Amazon’s fulfillment automation systems. Associates review short video or image clips captured inside fulfillment centers and accurately identify product placement and stowing actions.

This role requires high attention to detail, consistent productivity and adherence to quality standards. It is a 6-month contract role, making it a good entry-level opportunity for graduates seeking experience with a reputed global organization.

Job Details

Details	Information
Company Name	Amazon
Job Role	Associate, ML Data Operations (GO-AI Operations)
Qualification	Bachelor’s Degree
Experience	Freshers / Entry-Level
Job Type	Contract (6 Months)
Location	Hyderabad (Primary)
Work Mode	Virtual / Office (as per requirement)
Shift	Rotational (24×7)
Salary	Industry Standard

Roles and Responsibilities

As an Associate in ML Data Operations, your responsibilities will include:

Reviewing hundreds of short videos or images during each shift
Auditing stowing actions captured inside fulfillment centers
Identifying and marking correct product locations using internal tools
Maintaining high accuracy and productivity as per defined targets
Using human judgment to interpret unclear or blurry video footage
Following all process guidelines and acceptable practices strictly
Meeting daily and weekly quality benchmarks consistently
Working in rotational shifts, including night shifts and weekends
Spending 6.8 to 7 hours per day actively reviewing assigned tasks
Maintaining data confidentiality and workspace standards if working from home

This role directly supports defect reduction and improves the effectiveness of Amazon’s automated stowing systems.

Skills Required

To perform well in this role, candidates should have:

Strong attention to detail and visual observation skills
Ability to focus on screen-based work for long durations
Comfort with image, video and text-based auditing tasks
Willingness to work in a non-technical role for the full contract period
Ability to meet accuracy and productivity goals consistently
Flexibility to work rotational shifts, including night shifts
Basic computer knowledge and ability to use internal tools
Good teamwork skills for remote and on-site collaboration

This role does not require coding or advanced technical skills, but discipline and consistency are critical.

Eligibility Criteria

Candidates applying for this Amazon role must meet the following criteria:

Bachelor’s degree from a recognized university
Freshers or entry-level candidates are eligible
Willingness to work in a contract role for 6 months
Ability to work in rotational shifts and a 24×7 environment
Readiness to work from home or visit the office when required
Dedicated workspace with table, chair and proper lighting for WFH roles

Salary and Benefits

Amazon has not publicly disclosed the exact salary for this role. However, the compensation is aligned with industry standards for entry-level operations roles.

Additional benefits include:

Night shift allowance as per Amazon policy
Structured onboarding and process training
Fixed working hours with rotational weekly offs
Exposure to Amazon’s fulfillment and automation ecosystem
Experience with a globally recognized brand

Interview Process

The hiring process generally includes:

Online application through Amazon Careers
Resume shortlisting
Online assessment or evaluation (if applicable)
Final selection and onboarding

Candidates requiring accommodations during the hiring process can request support through Amazon’s official accommodation channels.

How to Apply

Interested candidates must apply only through the official Amazon Careers website.

You can apply using either of the following methods:

Visit Amazon Jobs and search for
“Associate, ML Data Operations – GO-AI Operations”
Apply directly using the official job link below

👉 Apply on Official Amazon Careers Website

Early application is recommended due to high applicant volume.

Before You Apply

Before submitting your application, keep these tips in mind:

Ensure your resume clearly mentions graduation details
Be prepared for screen-based work requiring high concentration
Understand that this is a non-technical, operations-focused role
Be mentally prepared for rotational shifts and night work
Maintain accuracy over speed to meet Amazon’s quality expectations

Also Apply For

Genpact Recruitment 2025: Process Associate – Voice

Cognizant Hiring Freshers in Hyderabad – Non-Voice Role

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Conclusion

The Associate, ML Data Operations role at Amazon is a solid entry-level opportunity for graduates who want to gain experience with a global organization. While it is a contract-based, non-technical role, it offers structured work exposure, strong process discipline and a valuable brand name on your resume. If you are looking to start your career with Amazon and are comfortable with operations-based work, this role is worth applying for.

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