Associate, ML Data Operations – GO-AI Operations | Amazon | Hyderabad (Virtual)

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Job Overview




    Category
    Details




    Job Role
    Associate, ML Data Operations – GO-AI Operations




    Company
    Amazon




    Location
    :contentReference[oaicite:2]{index=2} – Virtual / Remote (India)




    Work Mode
    Remote / Virtual with occasional on-site requests




    Experience
    Freshers & Early Career (0+ Years)




    Education
    Bachelor’s degree in any discipline




    Skills Required
    High attention to detail, video/image auditing, focus & accuracy




About Company

Amazon is a global leader in e-commerce, cloud computing, logistics, digital streaming, and artificial intelligence. The company operates with a mission to be Earth’s most customer-centric organization, serving millions of customers worldwide. Amazon’s GO-AI (Global Operations – Artificial Intelligence) team combines machine learning with human support systems to advance automation and operational excellence across fulfillment centers.

Detailed Responsibilities

As an Associate, ML Data Operations – GO-AI Operations, your key responsibilities will include: 

  • Reviewing and auditing hundreds of short videos/images per shift from Amazon fulfillment centers to ensure inventory accuracy and quality.

  • Marking product placement details using internal Amazon tools with high accuracy and speed.

  • Meeting operational goals for accuracy (quality) and productivity (speed) consistently.

  • Spending active hours (approximately 6.8–7 hours/day) answering audit tasks with scheduled breaks.

  • Maintaining a dedicated and secure workspace (desk, chair, lighting) for remote work without unauthorized access to work resources.

  • Working in rotational shifts, including nights/weekends, with flexibility as per business needs.

  • Collaborating with virtual teams and participating in meetings with video enabled.

  • Being prepared for occasional in-office work when required.

Eligibility Criteria

  • Bachelor’s degree in any discipline (mandatory).

  • Strong attention to detail and visual analysis skills.

  • Comfortable with highly repetitive, accuracy-focused tasks.

  • Ability to follow operational procedures and meet targets.

  • Flexible to work in rotational shifts, including night shifts.

  • Good communication and teamwork mindset.

  • Ready to maintain a secure, distraction-free remote work setup.

Skills Required / Preferred Skills

  • High accuracy in visual auditing.

  • Focus and consistency in repetitive tasks.

  • Ability to interpret unclear or less sharp videos/images.

  • Flexibility to adapt to changing schedules.

  • Strong time-management and organization skills.

  • Effective collaboration with remote team members.

Selection Process




    Stage
    Description




    Application Review
    Resume evaluation based on educational and skill fit




    Operational Assessment
    Review tasks for accuracy, focus and attention




    Team Discussion / Meeting
    Virtual discussion with team leads & expectations alignment




    Final Decision
    Offer issuance as per Amazon hiring norms

Salary & Benefits

Associates in ML Data Operations at Amazon typically receive competitive compensation for entry-level operational roles. Estimated compensation for similar GO-AI Operations positions in India is usually in the range of ₹4 LPA to ₹5 LPA depending on location, experience level, and shift allowances including night shift bonus. Benefits often include health insurance, paid leave, retirement/provident fund contributions, performance incentives, and opportunities to gain experience in AI-assisted operational workflows. Amazon’s inclusive work culture also supports flexible working conditions and remote collaboration opportunities. (Weekday Jobs)

How to Apply (Step-by-Step)

  1. Visit the official Amazon careers job page.

  2. Log in or create your candidate profile.

  3. Enter personal, academic, and professional details.

  4. Upload your updated resume/CV.

  5. Submit your application and check your email for updates from the recruiter.

👉 Apply here

Same role in different - Link

Resume Tips

  • Keep your resume concise (1–2 pages).

  • Highlight attention to detail and ability to handle repetitive tasks.

  • List any internships or work that involved analysis, focus, or visuals.

  • Include any technology or tool familiarity even if non-technical.

Assessment / Interview Tips

  • Be prepared to explain how you maintain accuracy over repetitive tasks.

  • Show your ability to focus and meet quality objectives consistently.

  • Highlight reliability, teamwork, and adaptability to rotational shifts.

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