Job Description: ML Data Associate Operations – Chennai (6 Months FTC)
Overview
Amazon, one of the world’s most customer-centric companies, is hiring for the position of Associate, ML Data Operations, in Chennai. This is a six-month fixed-term contract (FTC) role on Amazon’s payroll. If you are detail-oriented, have exceptional analytical abilities, and are comfortable working in a dynamic environment, this opportunity is for you. This role primarily involves performing precise and thorough video/image audits to support Amazon’s automated processes at its robotics fulfillment centers.
Job Highlights
- Position: ML Data Associate Operations
- Location: Remote, with the hiring office in Pune
- Contract Duration: 6 months (fixed-term contract on Amazon payroll)
- Openings: 300
- Salary: INR 2-2.75 Lacs P.A.
- Shift: Rotational shifts, including night shifts
- Application Deadline: Rolling applications until positions are filled
Application Process
- Step 1: Register for the assessment test using the following link:
- Maharashtra/Chennai: Assessment Registration
- Step 2: Complete the mandatory application process via the career portal:
- Chennai: Career Portal
Note: A PAN card is mandatory for attending the interview.
Interview Process
- Level 1: Online Versant Test (Written)
- Level 2: Final Virtual Interview
Key Responsibilities for ML Data Associate Operations
- Data Auditing:
- Watch video clips of stowing actions at Amazon’s fulfillment centers.
- Use human judgment and Amazon’s tools to verify product locations and activities captured in videos.
- Ensure the highest level of accuracy in auditing real-time and offline (image/video) data.
- Operational Excellence:
- Meet and exceed defined targets for quality, productivity, and adherence to best practices.
- Audit hundreds of short videos daily (15-20 seconds each).
- Spend approximately 6.8 to 7 hours actively auditing videos per shift.
- Collaboration:
- Participate in virtual team meetings with an active camera.
- Provide feedback for process improvements and collaborate with remote teams.
- Work Environment:
- Maintain a dedicated workspace with proper lighting, furniture, and confidentiality.
- Be ready to visit the office for training or other requirements when needed.
- Flexible Scheduling:
- Work a 9-hour shift (including breaks) in a 24×7 rotational schedule.
- Enjoy rotational two-consecutive days off weekly (may not fall on weekends).
Preferred Qualifications
- Willingness to work in a non-technical role for six months.
- Ability to audit image, video, and text-based tasks with high attention to detail.
- Proficiency in identifying details in blurry or unclear videos.
- Adaptability to incremental targets and goals related to quality and productivity.
- A strong team player who is flexible with rotational and night shifts.
Basic Qualifications
- Bachelor’s degree in any specialization (e.g., B.Com, B.Tech, B.Sc, B.A, BBA, etc.).
- Effective communication skills and the ability to work in fast-paced environments.
- Willingness to work weekends, holidays, and on a flexible schedule as needed.
About the Team
The Data Auditing Operations team supports Amazon’s Fulfillment Technologies and Robotics teams. They aim to enable hands-free active stowing through precise video/image audits. This process involves verifying product locations at fulfillment centers, reducing defects, and enhancing automation. Associates are critical to improving the effectiveness of automated processes.
ML Data Associate Operations: Key Skills
- Attention to detail
- Fast implementation and consistent performance
- Communication and team collaboration
- Ability to work under minimal supervision
Work Environment Expectations
- Adhere to Amazon’s work policies, including maintaining confidentiality.
- Dedicate focused time to auditing tasks while ensuring a quiet workspace.
- Be proactive in seeking coaching and performance improvement opportunities.
10 Interview Questions and Sample Answers for ML Data Associate Operations
1. Can you describe your understanding of the ML Data Associate Operations role?
Sample Answer: This role involves auditing videos/images from Amazon’s fulfillment centers to verify product locations and maintain inventory accuracy. By analyzing stowing actions, I would ensure quality and accuracy in data, thereby supporting Amazon’s automation processes. The role also requires attention to detail, flexibility with shifts, and meeting productivity targets.
2. How would you ensure accuracy while reviewing hundreds of video clips daily?
Sample Answer: I would focus on maintaining a high level of concentration and following a structured process for each audit. By double-checking my work and using the tools provided by Amazon, I can minimize errors. Taking pre-scheduled breaks would also help me stay focused throughout the shift.
3. How do you handle working in a fast-paced and dynamic environment?
Sample Answer: I thrive in fast-paced environments by staying organized, prioritizing tasks, and maintaining a calm mindset. I ensure I fully understand my responsibilities and use time management techniques to meet deadlines without compromising quality.
4. Are you comfortable working in rotational shifts, including night shifts?
Sample Answer: Yes, I am comfortable working in rotational shifts and adjusting to different schedules, including night shifts. I understand that flexibility is essential to meeting the demands of this role.
5. Can you give an example of a time you demonstrated attention to detail?
Sample Answer: In my previous role as a data entry associate, I was responsible for entering large volumes of data into a system. I implemented a method of cross-referencing my entries to ensure accuracy, which reduced errors by 20% and improved the overall quality of the data.
6. How would you manage distractions while working from home?
Sample Answer: I would set up a dedicated workspace with minimal distractions. I would also communicate with my family or housemates about my work hours to ensure uninterrupted time. Additionally, I would maintain a schedule and take short breaks to stay refreshed and focused.
7. How do you handle repetitive tasks?
Sample Answer: I handle repetitive tasks by maintaining a positive mindset and focusing on the importance of my work. I also set small personal goals for each shift to stay motivated. Listening to calming background music, when allowed, helps me maintain focus and efficiency.
8. Why do you want to work for Amazon?
Sample Answer: Amazon’s reputation for innovation, customer-centricity, and commitment to excellence inspires me. I appreciate the opportunity to contribute to its advanced fulfillment technologies and automation processes while developing my skills in a global organization.
9. What steps would you take if you encountered a blurry or unclear video during an audit?
Sample Answer: If I encountered a blurry or unclear video, I would use all available tools and resources to identify details. If the issue persisted, I would escalate the matter to my supervisor or seek clarification to ensure the accuracy of my response.
10. How do you handle constructive feedback and coaching?
Sample Answer: I value constructive feedback as an opportunity to grow. I actively listen, take notes, and implement the suggestions provided. In my previous role, feedback helped me enhance my performance, and I am always open to continuous learning and improvement.