Amazon Hiring 2026: Associate – ML Data Operations (GO-AI) | Hyderabad (Job ID 3134242)

Company: Amazon Development Centre (India) Private Limited
Job Title: Associate, ML Data Operations (GO-AI Operations)
Job ID / Requisition: 3134242
Team / Group: GO-AI Data Auditing Operations (Amazon Robotics & Fulfillment Technologies)
Employment Type: 6-Month Contractual / Fixed-Term Operational Role
Shift Pattern: 24×7 Rotational Shifts (5-day work week, 9-hour shifts with 2 consecutive rotational off-days)
Work Arrangement: Hybrid / Work-from-Home eligible (Requires dedicated WFH setup and on-demand office visits)
Location: Amazon Dev Center India – Hyderabad – A85, Telangana, India

Amazon is a global technology leader in e-commerce, cloud computing (AWS), digital streaming, and artificial intelligence. Within Amazon’s global logistics and supply chain networks, Amazon Robotics and Fulfillment Technologies rely on advanced computer vision and machine learning (ML) models to automate inventory stowing and track fulfillment accuracy across fulfillment centers (FCs).

The GO-AI Data Auditing Operations team provides human-in-the-loop (HITL) visual auditing services. Based out of Hyderabad (A85 Campus), ML Data Operations Associates review short video streams (15–20 seconds) captured during stowing actions. Using specialized internal annotation tools, associates verify, mark, and audit product locations, feeding high-precision ground-truth data into Amazon’s computer vision algorithms to reduce inventory defects and optimize FC stow quality.

• High-Volume Video & Image Auditing: Review hundreds of short video clips (15–20 seconds) per shift to verify product stow actions, object placements, and inventory orientation with high precision.
• Computer Vision Annotation & Tooling: Utilize internal image and video marking tools to pinpoint product locations in low-resolution, blurry, or fast-moving video feeds.
• Target & SLA Compliance: Maintain consistent daily output, meeting strict operational targets on accuracy (quality) and speed (productivity) across 6.8 to 7 hours of active daily video auditing.
• Process Defect Reduction: Help maintain inventory accuracy across Amazon Robotics fulfillment facilities by providing reliable human judgments for automated stowing systems.
• WFH & Operational Compliance: Maintain a dedicated, secure home workspace (proper table, ergonomic chair, and adequate lighting) and ensure work-related data is strictly confidential.

Academic Background

• Degree: Bachelor’s degree in any discipline (B.A., B.Sc., B.Com, B.E., B.Tech, BBA, BCA, etc.) from a recognized university.

Mandatory Operational & Technical Competencies

• Attention to Detail: Ability to spot minute product details, barcodes, and stow actions from less sharp, fast-paced, or blurry video feeds.
• Contract Commitment: Willingness to work in an operational non-tech role for a 6-month fixed contract duration.
• Shift Flexibility: Willingness to work in 24×7 rotational shifts (including night shifts, weekends, and public holidays) with shift changes occurring every 3–4 months.
• Communication & WFH Requirements: Good written and verbal English communication, willingness to turn ON camera during virtual meetings, and readiness to visit the Hyderabad office on short notice.

• Estimated Starting Salary: ₹2.5 LPA to ₹3.8 LPA (CTC) (approx. ₹20,000 to ₹28,000 per month net), plus shift allowances.
• Amazon Corporate Perks:
  • Night Shift Allowance: Additional financial allowance provided as per Amazon’s work policy when assigned to night shifts.
  • Overtime pay (OT) as per statutory guidelines for extra operational hours.
  • Medical insurance coverage for contract associates during the 6-month tenure.
  • Direct experience in computer vision, AI data annotation, and ML data operations within a Tier-1 tech company.

1. Application Shortlisting & Profile Screening (Job ID: 3134242)
   (Verification of Bachelor's degree, agreement to 6-month contract, & 24x7 shift availability)
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2. Amazon Online Assessment (Versant Communication & Attention-to-Detail Test)
   (Evaluation of English listening/speaking comprehension, visual observation skills, & typing speed)
   ↓
3. Virtual Operations Interview Round 1 (Visual Auditing & Scenario Test)
   (Practical assessment evaluating video observation accuracy, pattern identification, & speed under time limits)
   ↓
4. Managerial & Behavioral Discussion (Amazon Leadership Principles)
   (Questions testing Customer Obsession, Bias for Action, Earn Trust, & readiness for 24x7 rotational shifts)
   ↓
5. Offer Rollout & Equipment Onboarding (Hyderabad A85 / Virtual Onboarding)

• Amazon Leadership Principles: Focus on Bias for Action, Customer Obsession, Insist on the Highest Standards, and Frugality.
• Visual Observation & Data Auditing: Practice identifying objects from low-resolution images, video frame analysis, and maintaining focus during repetitive, high-speed visual tasks.
• English Proficiency & Communication: Clear spoken and written English comprehension for team communication and tool instruction adherence.

• Operations & AI: ML Data Operations, GO-AI Operations, Data Auditing, Image Annotation, Video Auditing, Computer Vision, Machine Learning Data Support
• Quality & Fulfillment: Inventory Accuracy, Stow Quality, Defect Reduction, Amazon Robotics, Fulfillment Center, Quality Assurance (QA), SLA Compliance
• Workflows & Skills: Visual Inspection, Data Verification, Rotational Shifts, Work From Home (WFH), Attention to Detail, Night Shift Operations
• Amazon Specifics: Job ID 3134242, Amazon Dev Center India, Hyderabad A85, 6-Month Contract, Amazon Leadership Principles

1. What is the Job Requisition ID for this Amazon opening?

The official Amazon job ID is 3134242.

2. Is this a permanent or contractual role?

This is an operational role offered on a 6-month fixed contract duration.

3. What are the shift and work-week expectations?

Associates work in 24×7 rotational shifts (9-hour shifts including breaks) across a 5-day work week with 2 consecutive rotational off-days. Night shift allowances are provided when working night schedules.

4. What is the primary work location?

The role is aligned with Amazon Dev Center India – Hyderabad – A85 Campus, with hybrid/remote flexibility subject to business guidelines and equipment distribution.