Join Amazon as Associate, ML Data Operations – GO-AI Operations

on

🔰 Important Points to Remember (Read Before Applying)

  • Read the complete job details carefully before applying.
  • Apply only if you meet the eligibility and work requirements.
  • Scroll down and click on the Apply button on the official website.
  • All communications will be sent to your registered email ID.
  • Keep checking Inbox & Spam folder for updates.
  • Share this opportunity with friends who are looking for Work From Home jobs.
  • FOLLOW Job Spot Updates WhatsApp Channel & Blog for verified job alerts.

🧑‍💼 About Job Spot Updates

Job Spot Updates is a trusted platform that shares 100% verified job opportunities, including:

We help job seekers apply consistently and build strong careers with real opportunities — no scams, no agents, no fees.



🏢 About the Company – Amazon

Amazon is one of the world’s largest technology and e-commerce companies, known for innovation, automation, and customer obsession.
Amazon’s Robotics and Fulfillment teams focus on automation, accuracy, and operational excellence across fulfillment centers.

Amazon follows equal opportunity hiring and provides inclusive work environments across roles and locations.

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

This role supports Amazon Robotics Fulfillment Centers by performing video and image auditing tasks that help maintain inventory accuracy and stow quality.

Associates review short stowing videos, apply human judgment, and mark product locations accurately using internal tools.
This is a non-technical, operational role with structured targets on accuracy and productivity.

📊 Job Overview (Table)

 


Job TitleAssociate, ML Data Operations (GO-AI Operations)


CompanyAmazon


Job ID3134191


Job TypeContract (6 Months)


Work ModeVirtual / Work From Home


DepartmentMachine Learning Science


LocationsHyderabad, Bangalore, Chennai, Delhi, Mumbai, Andhra Pradesh (Virtual)

📝 Key Responsibilities

  • Watch and audit hundreds of short stowing videos per shift
  • Identify and mark product locations accurately
  • Maintain quality, productivity, and compliance standards
  • Spend 6.8–7 hours per day actively completing tasks
  • Follow predefined break schedules and SOPs
  • Support defect reduction and inventory accuracy

⏰ A Day in the Life

  • 9-hour rotational shifts (including breaks)
  • 24×7 working environment
  • Rotational weekly offs (2 consecutive days)
  • Night shift allowance as per Amazon policy
  • Shift timing may change every 3–4 months

🎯 Skills & Competencies Required

  • High attention to detail and screen focus
  • Ability to analyze blurry or low-quality videos
  • Fast learning and consistent performance
  • Comfort working with targets and metrics
  • Strong teamwork in remote environments

🎓 Eligibility / Qualification



QualificationBachelor’s Degree (Any Discipline)


ExperienceNot Mandatory


Work ScheduleRotational Shifts (Including Nights & Weekends)

🖥️ Work From Home Requirements

  • Dedicated workspace (table, chair, proper lighting)
  • No third-party access to work data
  • Camera ON during virtual meetings
  • Readiness to visit office occasionally if required

🧪 Selection Process

 


StageProcess


1Online Application


2Online Assessment


3Virtual Orientation


4Joining & Training

📝 How to Apply

  • Visit the official Amazon Careers website
  • Search for Job ID 3134191
  • Click on Apply and complete the application
  • Use a laptop/desktop for best experience

Apply HERE  |  Additional Job Links

⏱ Application may take up to 3 hours including assessments.

📢 About the Team

The Data Auditing Operations Team supports Amazon Fulfillment Centers by reviewing short video clips (15–20 seconds) to improve automated stowing accuracy.
Human-verified data strengthens Amazon’s ML systems and reduces inventory defects.

📌 About Job Spot Updates (Follow & Contact)

📢 Job Spot Updates
📍 Verified Work From Home & Fresher Jobs
📲 WhatsApp Channel: Join for Daily Alerts
🌐 Blog: https://jobspotupdates.blogspot.com

🔁 Share this job with friends
🤗 Follow our WhatsApp Channel & Blog for verified jobs, resume tips & interview guidance


Comments

Post a Comment