Amazon Mass Hiring Freshers for Virtual Support Associate & ML Data Operations Associate – Apply Now
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Amazon has announced a new mass hiring drive for the role of ML Data Operations Associate (GO-AI Operations) and Virtual Support Associate, offering freshers and experienced candidates a strong opportunity to start their career with one of the world’s most trusted companies. This role is especially suitable for graduates who prefer a remote job, structured work environment, and stable long-term opportunities in global operations.
The role comes under ADCI Maharashtra – D80, and the job involves detailed video auditing, supporting Amazon’s automation and robotics systems used across fulfillment centers. Amazon is looking for candidates who can work with precision, maintain productivity standards, and comfortably handle non-technical but analytical image/video evaluation tasks.
Salary Details
Amazon offers an attractive and competitive salary for this role:
- Expected Salary: Rs 4 LPA to 5 LPA
- Night Shift Allowance: Extra payment as per Amazon policies for those working night shifts
- Performance Incentives: Based on quality, accuracy, and productivity
- Additional Perks: Internet reimbursements for remote workers (where applicable), employee discounts, and medical benefits (depending on employment structure)
The salary can vary slightly depending on location, shift, and experience.
Educational Qualifications
Amazon maintains simple and inclusive educational eligibility criteria:
- Any Bachelor’s Degree (Any Stream) is accepted
- 0 to 3 years of experience can apply, though freshers are highly encouraged
- Strong attention to detail and ability to focus for long hours is required
- Basic English reading/writing skills are needed to understand tasks and instructions
No technical degree is required because the job is operational and audit-focused.
Job Location
The role is primarily Remote / Work From Home, but candidates must be ready to visit the office for a few days when required for training, calibration, or technical support.
Role Overview
This position plays a major role in enabling automation at Amazon’s Robotics Fulfillment Centers. The ML Data Operations team audits short-duration videos (usually 15–20 seconds) to ensure accuracy in stow operations, inventory management, and process automation.
The role involves:
- Watching and auditing hundreds of video clips per shift
- Identifying product placement, actions, and stow movements
- Marking product locations using internal tools
- Ensuring 100 percent accuracy while maintaining high speed
- Supporting automation and robotics systems with correct human-verified data
This is a non-technical, detail-oriented operational job, but it directly supports Amazon’s advanced machine learning and robotics ecosystem.
Key Job Responsibilities
Candidates selected for this role must:
- Review large volumes of videos/images per shift
- Provide accurate judgments based on visual activity
- Work toward daily and weekly productivity targets
- Maintain high accuracy levels while working fast
- Work from a quiet home setup with proper lighting, chair, and desk
- Keep work-related data confidential and inaccessible to others
- Attend virtual meetings with cameras turned on
- Work rotational shifts, including night shifts and weekends
Weekly offs are two consecutive days, but not necessarily Saturday and Sunday.
Application Process
The steps include:
- Visit the Amazon career site
- Search Job ID 3134249 – ML Data Operations Associate
- Read all job details carefully
- Click “Apply” and create/Log in to your Amazon account
- Upload your resume and fill the application form
- Complete online assessment tests
- Attend virtual interview if shortlisted
No application fee required.
Interview & Selection Process
Amazon follows a simple and efficient hiring flow:
1. Online Assessment Test
This includes sections such as:
- English comprehension
- Situational judgment tests
- Workstyle assessments
- Attention-to-detail tests (video/image-based)
2. Virtual Interview
A basic HR-style discussion covering:
- Availability for rotational shifts
- Remote work readiness
- Home workspace conditions
- Past experience or ability to focus on repetitive tasks
3. Documentation & Onboarding
Once selected, candidates must complete background verification and receive onboarding details.
Employee Benefits
Amazon offers several benefits that make this role attractive:
- Remote work flexibility
- Night shift allowances
- Performance-based bonuses
- Job stability with a global brand
- Training and coaching for performance improvement
- Work-from-home infrastructure support (in some cases)
- Opportunity to transition into permanent roles based on performance
- Exposure to global teams and processes
Resume Tips for Better Shortlisting
To increase your chance of selection:
- Use a clean one-page resume
- Highlight attention to detail and accuracy
- Mention any experience with data entry, auditing, or content moderation
- Add skills like MS Office, typing speed, and communication
- Avoid long paragraphs and unnecessary details
- Mention ability to work in rotational shifts clearly
Amazon values accuracy, consistency, and discipline, so reflect these traits in your resume.
Useful Courses to Improve Profile
Even though it’s a non-technical role, these courses help:
- Basic Excel and Data Entry
- Video & Image Annotation Fundamentals
- Introduction to Machine Learning (Beginner level)
- English Communication Skills
- Time Management and Productivity
- Workplace Ethics and Remote Work Readiness
Free platforms like Coursera, Udemy (free courses), and YouTube offer suitable content.
Apply Link: Click Here
Important Note
This job update is for informational purposes only. All candidates are advised to visit the official Amazon Careers website to confirm details, eligibility, and application steps.