Amazon Virtual Hiring 2025 | Associate, ML Data Operations (GO-AI) | Freshers | Work from Home

Amazon, one of the world’s most admired technology companies, is inviting applications for the position of Associate – ML Data Operations (GO-AI) across India. This is an exciting opportunity for fresh graduates and early-career professionals who are eager to build their careers in operations, automation, and machine learning data support within one of the most innovative global organizations.

This role offers a chance to be part of Amazon’s GO-AI (Global Operations – Artificial Intelligence) team — the unit that powers automation and efficiency at Amazon’s cutting-edge fulfillment centers.

About the Company

Founded in 1994 by Jeff Bezos, Amazon is a global leader in e-commerce, digital streaming, cloud computing, and artificial intelligence. Its success has been built on a foundation of innovation and customer obsession. With a workforce of over a million people, Amazon operates across diverse sectors including Amazon Web Services (AWS), Prime Video, Alexa, Kindle, and Robotics.

In India, Amazon continues to lead in logistics and automation through its fulfillment centers and next-gen AI systems. This role, part of the GO-AI operations team, supports Amazon’s global efforts in automation, robotics, and real-time data accuracy.

Role Overview – Associate, ML Data Operations (GO-AI)

As an ML Data Operations Associate, you will be part of the team that ensures automation accuracy in Amazon’s fulfillment centers. The GO-AI team plays a key role in maintaining inventory accuracy, monitoring automation workflows, and ensuring that Amazon’s robotic systems function seamlessly.

This is a non-technical operational role, perfect for individuals who can maintain focus, follow detailed processes, and ensure high data accuracy while auditing image or video-based data.

The role is virtual (work from home), though you may occasionally be required to report to an office for training or system-related requirements.

Key Responsibilities

• Analyze and audit short video/image clips from fulfillment centers to ensure stow (storage) accuracy.
• Verify product placements and identify discrepancies using Amazon’s internal tools.
• Maintain accuracy, consistency, and attention to detail while performing high-volume video audits.
• Achieve daily targets related to productivity and quality.
• Participate in training sessions, performance reviews, and improvement coaching.
• Adhere to data security and privacy protocols while working remotely.
• Collaborate with cross-functional teams and adapt to business needs, including night and rotational shifts.

Required Skills and Attributes

• Strong observational and analytical skills with high attention to detail.
• Ability to review visual content such as images or videos and make accurate judgments.
• Self-discipline to work from home efficiently and meet performance metrics.
• Good verbal and written communication skills in English.
• Proficiency in handling computer systems and data entry tools.
• Willingness to work in rotational shifts, including nights and weekends.

Educational Qualifications

• Candidates must hold a Bachelor’s degree in any discipline from a recognized university.
• Graduates from streams like Science, Commerce, Arts, or Computer Applications are eligible.
• Freshers and candidates with up to 5 years of experience can apply.
• A keen interest in technology, automation, and operations will be an added advantage.

Salary Details

The expected salary for this role ranges between ₹4.0 – ₹4.5 LPA, depending on the candidate’s experience, skill set, and location.

Additionally, Amazon offers shift allowances, performance-based incentives, and other benefits aligned with company policies.

Work Schedule and Environment

• Type: Full-Time, Contractual (typically 6 months)
• Mode: Virtual/Work from Home
• Shift: 24×7 rotational shifts, including night and weekend rotations
• Weekly Offs: Two consecutive rotational offs (not necessarily on weekends)

Employees working from home are expected to have:

• A quiet and dedicated workspace with good lighting.
• Reliable internet connectivity.
• Proper system security to ensure work-related data confidentiality.

Application Process

Interested candidates can apply directly through Amazon’s official careers portal:

1. Visit the official careers site.
2. Search for “Associate, ML Data Operations” or use Job ID: 3088509.
3. Click on “Apply Now” and create your profile.
4. Fill in all personal, educational, and professional details.
5. Upload an updated resume and submit the application.

Interview Process

The hiring process typically includes the following stages:

1. Online Assessment:
   • Analytical and reasoning questions.
   • English communication and comprehension tests.
   • Attention-to-detail tasks (video/image-based exercises).
2. Virtual Interview:
   • Conducted via video conferencing.
   • Questions may focus on adaptability, problem-solving, and situational judgment.
3. Final HR Discussion:
   • Verification of details, shift flexibility, and willingness to work remotely.

Shortlisted candidates receive an email confirmation with joining formalities and documentation details.

Benefits of Working at Amazon

• Work-from-home flexibility with a global work culture.
• Shift allowances for night and weekend work.
• Comprehensive health and insurance coverage for employees.
• Career growth opportunities within Amazon’s operations and automation teams.
• Training and certification programs to build professional skills.
• Exposure to cutting-edge AI and robotics technology in fulfillment operations.
• Inclusive work environment with diversity and employee support programs.

Resume and Interview Tips

1. Highlight relevant skills such as analytical ability, attention to detail, and accuracy.
2. Mention any prior data entry, auditing, or operations experience (even internships).
3. Keep your resume concise and tailored for operations/ML support roles.
4. During the interview, showcase your ability to stay focused, adapt to shifts, and handle repetitive yet critical tasks.
5. Practice answering scenario-based questions about handling errors, multitasking, and meeting deadlines.

Important Note

The above information is provided for educational and informational purposes only. Applicants are advised to apply only through the official Amazon Careers website.

Application Link: Click Here

Conclusion

If you are a recent graduate looking for a stepping stone into one of the world’s largest and most innovative companies, Amazon’s ML Data Operations Associate role is an ideal opportunity. With strong career growth, a supportive culture, and exposure to AI-driven automation systems, this role lets you be part of Amazon’s mission to continually raise the bar for operational excellence.