About Amazon
Amazon (NASDAQ: AMZN) is a global leader in e-commerce, technology, and digital transformation. With a mission to be the world’s most customer-centric company, Company innovates in AI, cloud computing, logistics, and more. Our workforce operates at the intersection of technology and operational excellence, delivering cutting-edge solutions for millions of customers worldwide.
Company is currently hiring Associates for ML Data Operations under GO-AI Operations. If you’re looking for a challenging yet rewarding career in machine learning and data operations, this role is a great fit for you!
Job Overview: Associate, ML Data Operations
- Location: Multiple locations (Remote options available)
- Job Type: Contract (6 months)
- Openings: 5
- Industry: E-commerce, AI & Machine Learning, Operations
- Work Mode: Work from home & office (Hybrid Model)
- Shift Type: Rotational (Including night shifts)
This role supports automation at Amazon Robotics Fulfillment Centers by ensuring accurate video and image auditing. Your contributions will enhance inventory accuracy and operational efficiency in Amazon’s fulfillment ecosystem.
Key Responsibilities
As an Associate, ML Data Operations, your primary responsibility will be to review and audit video footage and images related to Amazon’s fulfillment center operations. Your tasks will include:
✅ Watching hundreds of short videos per shift (15-20 seconds each) and analyzing the stowing actions.
✅ Using human judgment combined with AI tools to verify product placement and storage accuracy.
✅ Identifying discrepancies in inventory storage and marking errors using Amazon’s auditing tools.
✅ Ensuring data accuracy and compliance with internal quality control standards.
✅ Working on rotational shifts, including morning, afternoon, night, and weekend schedules.
✅ Collaborating with cross-functional teams to enhance automation efficiency.
✅ Maintaining strict adherence to Amazon’s operational policies.
This is an operational role requiring precision, focus, and the ability to work independently while meeting productivity targets.
Who Can Apply?
✅ Basic Qualifications:
✔️ Bachelor’s Degree in any field (mandatory)
✔️ Strong attention to detail and ability to work in fast-paced environments
✔️ Comfortable working with video and image-based tasks
✔️ Good communication skills (written and verbal)
✔️ Ability to work in shifts, including nights and weekends
✔️ Self-motivated and capable of meeting daily targets
✅ Preferred Qualifications:
✔️ Prior experience in data auditing, video/image analysis, or AI-based operations
✔️ Familiarity with machine learning concepts (basic understanding is enough)
✔️ Strong analytical and problem-solving skills
✔️ Experience in Amazon’s fulfillment operations (a plus)
✔️ Ability to work with minimal supervision in a remote setup
Work Environment & Expectations
For Work-from-Home Associates:
💻 Dedicated workspace with table, chair, and proper lighting
🔒 Confidentiality – Work-related data must not be accessed by anyone other than the employee
📹 Virtual Meetings – Employees must switch on their laptop cameras when required
📅 Rotational shifts – Associates must be available for shift changes every 3-4 months as per business needs
Shift & Weekly Offs:
⏰ 9-hour shifts (including pre-scheduled breaks)
📆 5 working days per week, with two consecutive weekly offs (not necessarily Saturday & Sunday)
🌙 Night shift allowance is provided as per Amazon’s policies
Why Join?
Amazon offers an inclusive and innovative work environment, ensuring employees have the best career growth opportunities. Here’s why you should apply:
1. Career Growth & Development
🚀 Access to continuous learning and upskilling programs
🌍 Opportunities to work on global AI & machine learning projects
📈 Internal mobility options to transition into full-time roles at Amazon
2. Competitive Salary & Perks
💰 Attractive salary packages
🎯 Performance-based incentives & bonuses
🩺 Health insurance & wellness benefits
3. Work-Life Balance
⚖️ Flexible working hours with fixed weekly offs
🤝 Collaborative team environment that values innovation & inclusion
4. Diversity & Inclusion
🌎 Equal opportunities for all genders, backgrounds & skill levels
🏆 Amazon is committed to fostering a diverse workforce with zero tolerance for discrimination
How to Apply?
1️⃣ Submit your resume on Amazon’s official career portal
2️⃣ Pass the initial screening based on skills and experience
3️⃣ Attend interviews (technical & HR rounds)
4️⃣ Receive an offer letter and start your journey with Amazon!
📢 Apply Now & Take Your Career to the Next Level!
FAQs – Associate, ML Data Operations at Amazon
❓ 1. What is the salary for this role?
The salary is competitive and varies based on experience. Additional benefits and incentives may apply.
❓ 2. Is this a remote or in-office job?
This is a hybrid role – some associates work remotely, while others report to the office as needed.
❓ 3. What are the required qualifications?
A Bachelor’s degree is required. Prior experience in data auditing, video analysis, or AI-related tasks is a plus.
❓ 4. What shifts are available?
Rotational shifts, including morning, afternoon, and night shifts. Weekly offs may not always fall on weekends.
❓ 5. How can I prepare for the Amazon interview?
- Familiarize yourself with Amazon’s fulfillment operations
- Practice analyzing video & image-based tasks
- Improve your attention to detail and data accuracy skills
- Prepare for behavioral and situational questions
Final Thoughts
If you’re looking for a and challenging rewarding career in machine learning operations, this is the perfect opportunity. With great benefits, career growth, and a dynamic work environment, Amazon offers you a chance to make an impact in the tech-driven world of e-commerce.
🚀 Apply now and be a part of Amazon’s AI transformation!
Job Summary
| Job Title | Associate, ML Data Operations |
|---|---|
| Company | Amazon |
| Industry | E-commerce, AI & ML |
| Department | GO-AI Operations |
| Employment Type | Contract (6 months) |
| Location | Multiple (Remote & On-site) |
| Work Mode | Hybrid |
| Shift Type | Rotational (Morning, Afternoon, Night) |
| Working Days | 5 Days a Week |
| Weekly Offs | Rotational (2 consecutive days) |
| Required Experience | 0-2 Years |
| Education | Bachelor’s Degree |
