Amazon Hiring Freshers for Associate – ML Data Operations | Remote

Company: Amazon Development Centre India (ADCI)
Role: Associate – ML Data Operations, GO-AI Operations
Experience: Freshers (0–3 Years)
Education: Any Graduate
Location: Remote (Work from Home)
Salary: ₹4.5 LPA (Expected)
Job Type: Full-Time (6-Month Contract, Extendable)

About Amazon

Amazon is one of the world’s largest and most customer-centric companies, renowned for innovation, technology-driven operations, and its deep commitment to excellence. From cloud computing and artificial intelligence to e-commerce and robotics, Amazon continues to redefine how technology impacts daily life.

This Associate – ML Data Operations role is a fantastic opportunity for fresh graduates and early-career professionals looking to gain valuable experience in operational, AI, and data-centric roles at a global technology company.

About the Role: Associate, ML Data Operations (GO-AI)

In this position, you’ll join Amazon’s GO-AI (Global Operations – Artificial Intelligence) team, which enables automation at Amazon Robotics Fulfillment Centers. The team supports data auditing and analysis that helps improve automation systems across Amazon’s global fulfillment network.

As an Associate in this role, your main responsibility will be to audit and analyze video and image data from Amazon’s warehouses to ensure the accuracy of stowing actions and maintain data quality. This is an operational, non-technical role that requires a sharp eye, attention to detail, and the ability to make quick, accurate decisions.

You’ll work on hundreds of short videos daily, ensuring that each video’s data is reviewed and tagged correctly. Your work directly contributes to improving Amazon’s automated inventory management and robotics systems.

Key Responsibilities

• Watch, analyze, and audit hundreds of short video clips per shift (typically 15–20 seconds each).
• Identify and mark correct product locations based on video footage using internal tools.
• Maintain high accuracy and productivity while adhering to performance goals.
• Support the quality and reliability of data used by Amazon’s automation systems.
• Demonstrate excellent judgment in identifying details from unclear or blurry videos.
• Collaborate virtually with other associates and team leads for process improvement.
• Follow defined procedures for data privacy, accuracy, and workflow management.
• Maintain a professional, distraction-free workspace (for remote employees).

Required Skills and Attributes

• Strong observation skills and a keen eye for detail.
• Ability to work independently in a fast-paced, repetitive task environment.
• Fluent English communication skills (verbal and written).
• Basic understanding of computer operations and comfort with video-based tasks.
• High focus and concentration on-screen work for long durations.
• Excellent time management and multitasking abilities.
• Willingness to work in rotational shifts (including night and weekend shifts).
• A dedicated work setup — laptop, stable internet connection, and proper lighting (for WFH).

Educational Qualification

• Bachelor’s Degree in any discipline (Science, Commerce, or Arts).
• Strong academic performance and familiarity with digital workflows preferred.
• No prior experience required – fresh graduates are welcome.

Preferred Qualifications

• Prior experience in data operations, auditing, or content review will be an advantage.
• Familiarity with AI/ML, automation, or quality control processes is beneficial.
• Flexibility to work weekends, holidays, or extended hours when required.

Salary and Compensation

• Expected Salary: ₹4.5 LPA (approximate, based on role and performance).
• Additional benefits include:
  • Night shift allowance (as per Amazon’s policy).
  • Internet and work-from-home reimbursements (where applicable).
  • Performance-based bonuses.
  • Paid time off and sick leaves as per company policy.
  • Access to Amazon employee resources and e-learning platforms.

Work Environment and Schedule

• Mode: Remote (Work from Home).
• Work Hours: 9-hour shifts, including breaks.
• Shifts: Rotational (Day, Evening, Night).
• Workdays: 5 days a week, with 2 consecutive rotational days off.
• Employees must maintain 7 productive hours per day for video audits.
• Night shift allowance provided for applicable shifts.

Application Process

Interested candidates can apply directly through Amazon’s official careers page by searching for Job ID: 2974593 (Associate, ML Data Operations – GO-AI Operations).

Application Steps:

1. Visit the Amazon Jobs Official Page.
2. Search for the Associate, ML Data Operations role.
3. Click on “Apply Now” and create or log in to your Amazon Jobs account.
4. Fill in all the details carefully and upload your updated resume.
5. Submit the application and wait for a confirmation email.

Amazon HR will reach out to shortlisted candidates for the next steps.

Interview Process

The Amazon selection process for this role typically includes the following stages:

1. Online Assessment Test:
   • A short aptitude and logical reasoning test.
   • Questions to assess attention to detail, analytical ability, and English comprehension.
2. Operational Task Simulation:
   • A short task where you analyze sample videos or data clips to evaluate accuracy and judgment.
3. HR Interview:
   • Discussion about your educational background, skills, and work flexibility.
   • Expect behavioral questions to assess adaptability and discipline.
4. Final Selection & Offer Letter:
   • Selected candidates receive an offer email with role details, joining formalities, and documentation requirements.

Benefits of Working at Amazon

• Remote Work Flexibility – Work from the comfort of your home.
• Global Exposure – Be part of one of the world’s most innovative organizations.
• Career Development – Access to training programs and growth opportunities.
• Inclusive Work Culture – Amazon values diversity and equal opportunity.
• Performance Recognition – Regular appraisals and bonus opportunities.
• Employee Assistance Program (EAP) – Wellness and counseling support.

Resume Tips for Amazon Application

• Keep your resume simple, concise, and formatted professionally (one page preferred).
• Highlight your academic background, communication skills, and attention to detail.
• Mention any relevant experience in data entry, content moderation, or video analysis.
• Include keywords like “Data Operations,” “Audit,” “Attention to Detail,” “Remote Work,” and “Quality Analysis.”
• Proofread your resume thoroughly before uploading it.

Apply Now: Click Here

Important Note

The above post is for informational purposes only. Candidates must apply through Amazon’s official career portal. Amazon does not charge any fees or ask for confidential information during recruitment.