Amazon Virtual Hiring 2025 for Associate, ML Data Operations (GO-AI) – Apply Now
Company: Amazon Development Centre India (ADCI)
Role: Associate, ML Data Operations (GO-AI)
Experience: Freshers (0–5 Years)
Education: Any Graduate
Salary: ₹4.5 LPA (Expected)
Job Location: Across India (Virtual Role)
Application Mode: Apply through the official Amazon careers page
Role Overview
As an Associate in ML Data Operations, you’ll be responsible for reviewing short videos or images recorded in Amazon’s fulfillment centers. Your primary task will be to validate inventory stowing activities — identifying whether the right product has been placed correctly. The role demands a high level of focus, attention to detail, and precision since your work directly impacts automation accuracy and operational quality.
This position is part of Amazon’s Customer Experience and Success (CE&S) division, where you’ll help maintain fulfillment center efficiency through data auditing and analysis. It’s an operational, non-technical role — ideal for candidates looking to start their corporate career with Amazon’s technology-driven ecosystem.
Salary Details
For this role, Amazon is offering a competitive expected salary of ₹4.5 LPA, along with benefits such as:
- Night shift allowances (for those working in late shifts)
- Internet reimbursement (for remote employees)
- Paid time off and leaves as per company policy
- Access to Amazon’s internal learning resources and professional upskilling programs
The compensation is in line with Amazon’s high-performance culture and offers great exposure to operations, analytics, and automation systems used in one of the world’s most advanced fulfillment networks.
Educational Qualification
Candidates applying for this role must hold a Bachelor’s degree in any discipline. Although there’s no strict restriction on the field of study, degrees in Computer Science, Information Technology, Commerce, or Business Administration may provide a better understanding of operational and analytical aspects of the role.
Additional preferred qualifications include:
- Good analytical and problem-solving skills
- Basic computer literacy and comfort with digital tools
- Strong verbal and written communication in English
- Ability to adapt quickly to changing workflows and targets
Application Process
Candidates can apply directly through Amazon’s official careers portal (www.amazon.jobs) under the job ID 3088509 for “Associate, ML Data Operations – GO-AI.”
Step-by-step application guide:
- Visit the official Amazon careers page.
- Search for the job title or job ID mentioned above.
- Create or log in to your Amazon account.
- Upload your updated resume and fill in the required details.
- Submit your application.
Once submitted, Amazon’s hiring team will review your profile. Shortlisted candidates will receive an email invitation for the next stages of the process.
Interview Process
The Amazon recruitment process for this role generally includes:
- Online Assessment:
- Consists of aptitude, English comprehension, and logical reasoning questions.
- May also include a brief video or data labeling test to evaluate accuracy and attention to detail.
- Virtual Interview:
- Conducted by Amazon hiring specialists through video conferencing.
- Focuses on behavioral questions and understanding your approach to task accuracy, consistency, and time management.
- Final HR Discussion:
- Covers compensation, shift timings, and terms of employment.
The interview process emphasizes accuracy, communication, focus, and adaptability — rather than prior work experience.
Benefits of Working at Amazon
Joining Amazon’s GO-AI team offers more than just a job — it’s a gateway into the world of technology-driven operations and AI integration. Some of the key benefits include:
- Global Exposure: Work with international teams in a high-performance, multicultural environment.
- Learning Opportunities: Gain hands-on experience with AI, data labeling, and operations management tools.
- Career Growth: High-performing associates often get absorbed into full-time or permanent roles in analytics or operations.
- Work-Life Balance: Rotational shifts with two consecutive days off per week.
- Inclusive Culture: Amazon strongly promotes diversity and inclusion across all teams.
Resume Tips for Candidates
To improve your chances of selection, here are some resume and preparation tips:
- Keep your resume clear, concise, and formatted professionally.
- Highlight relevant skills like data analysis, problem-solving, attention to detail, and proficiency in MS Excel or Google Sheets.
- Mention academic projects or internships that involved operational or analytical tasks.
- Include soft skills such as teamwork, time management, and adaptability.
- Proofread your resume carefully to avoid grammatical errors.
If you’re a fresher, focus on educational achievements, certifications, and skills rather than work experience.
Key Highlights
- Position: Associate – ML Data Operations (GO-AI)
- Employment Type: Full-time, Contract (6 months, extendable)
- Work Mode: Virtual (Work From Home with occasional office visits)
- Shifts: Rotational, including night shifts
- Weekly Offs: Two consecutive days, based on business needs
Important Note
The above post is intended for informational purposes only. All hiring decisions, eligibility, and application procedures are governed by Amazon’s official recruitment process. Candidates are advised to apply only through the official Amazon Careers portal and not through third-party sites or consultants. Amazon never charges any fees for job applications or interviews.
Application Link: Click Here
Final Thoughts
The Amazon ML Data Operations – GO-AI Associate position is a valuable opportunity for graduates who aspire to work in a data-driven, global organization. With structured training, an excellent stipend, and exposure to AI-based operations, this role provides a perfect launchpad for your career in one of the world’s top technology companies. If you’re focused, disciplined, and eager to learn, this could be your first step toward an exciting and rewarding professional journey with Amazon.
