Amazon Mass Hiring for ML Data Operations Associate & Virtual Support Associate

Amazon has launched a new mass hiring drive for two major positions — ML Data Operations Associate (GO-AI Operations) and Virtual Support Associate. This recruitment is ideal for fresh graduates as well as candidates with up to 3 years of experience who are looking for a remote job, stable work environment, and long-term growth opportunities with one of the world’s most trusted companies.

The ML Data Operations role falls under ADCI Maharashtra – D80 and focuses on video-based auditing and operational analysis that supports Amazon’s advanced automation and robotics technologies across fulfillment centers.

Role Overview

The ML Data Operations Associate plays a crucial role in enhancing Amazon’s automated and robotic fulfillment systems.
You will analyze short videos (15–20 seconds) and validate stow actions, product placements, and inventory movements.

Key functions include:

• Auditing hundreds of video clips per shift
• Identifying patterns and marking product locations
• Ensuring high accuracy while maintaining productivity
• Supporting machine learning models with human-verified data

This is a non-technical but analytical role, ideal for individuals who can work with focus and consistency.

Salary Details

Amazon offers an attractive and performance-driven compensation package:

• Expected Salary: ₹4 LPA – ₹5 LPA
• Night Shift Allowance: Additional pay as per Amazon policy
• Performance Incentives: Based on accuracy, speed, and quality
• Other Benefits:
  • Internet reimbursement (for WFH roles, where applicable)
  • Employee discounts
  • Medical coverage (varies by employment type)

Salary may vary based on location, experience, and shift timings.

Educational Qualifications

Amazon uses simple and inclusive criteria:

• Any Bachelor’s Degree (any stream accepted)
• 0–3 years of experience
• Freshers highly preferred
• Strong attention to detail
• Basic English reading and writing skills
• Ability to focus for long periods

No technical degree is required since the work is operational and audit-based.

Job Location

• Remote / Work From Home
• Candidates must be willing to visit the office occasionally for:
  • Training
  • Calibration
  • System checks

Key Job Responsibilities

Selected candidates will:

• Review high volumes of videos/images each shift
• Analyze visual content and provide accurate judgments
• Meet daily/weekly productivity targets
• Maintain high accuracy standards
• Work from a quiet and organized home setup
• Attend virtual meetings with camera on
• Follow confidentiality and data security guidelines
• Work rotational shifts (including nights and weekends)

Weekly off: Two consecutive days (not necessarily Sat/Sun).

Application Process

Follow these steps to apply:

1. Visit the Amazon Careers website
2. Search using Job ID: 3134249 – ML Data Operations Associate
3. Open the job description and read carefully
4. Click Apply
5. Create/Login to your Amazon account
6. Upload your resume and complete the application form
7. Take the online assessment tests
8. Attend virtual interview (if shortlisted)

✔ No application charges.
❌ Avoid third-party job links.

Read More: Deloitte Hiring Freshers 2025 | Junior Analyst – Financial Crime Investigator

Interview & Selection Process

Amazon follows a smooth, beginner-friendly hiring workflow:

1. Online Assessment

Includes:

• English comprehension
• Situational judgment test
• Workstyle assessment
• Attention-to-detail tests (video/image-based)

2. Virtual Interview

Covers:

• Availability for rotational shifts
• Readiness for remote work
• Workspace setup
• Past experience or focus abilities

3. Documentation & Onboarding

After selection:

• Background verification
• Onboarding confirmation
• Training schedule

Employee Benefits

Amazon offers several perks that make this role appealing:

• Flexible remote work environment
• Night shift allowances
• Performance bonuses
• Strong job stability
• Training and coaching support
• Internet reimbursement (for some roles)
• Opportunity to convert to permanent positions
• Exposure to global processes and teams

Resume Tips for Higher Shortlisting Chances

To improve selection odds:

• Use a clean, one-page resume
• Highlight skills like accuracy, attention to detail, and productivity
• Mention any experience in data entry, moderation, or auditing
• Add MS Office, typing speed, and communication skills
• Include ability to work rotational shifts
• Avoid long paragraphs and unnecessary content

Amazon values candidates who show discipline, consistency, and strong work ethics.

Click Here: Apply Now(apply before the link expires)

Useful Courses to Improve Your Profile

Not mandatory, but helpful:

• Basic Excel & Data Entry
• Video/Image Annotation Basics
• Intro to Machine Learning (Beginner-friendly)
• English Communication Skills
• Time Management & Productivity
• Workplace Ethics & Remote Work Best Practices

Courses available on:

• Coursera
• Udemy (free courses)
• YouTube

✅Apply only on official sites – Please avoid fake job links!!

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