Amazon Associate, ML Data Operations, GO-AI Operations Work From Home for Freshers - Apply Now

Job Description: Associate, ML Data Operations, GO-AI Operations

Job Role: Associate, ML Data Operations, GO-AI Operations
Locations: Multiple Locations
Company: Amazon

ML Data Operations Job Description

This team enables automation at Amazon Robotics Fulfillment centers. It serves Amazon Internal Fulfillment Technologies & Robotics teams by enabling automation, which includes real-time & offline (image/video) data auditing services. One of the key contributions of this team is supporting the fulfillment centers in maintaining inventory accuracy.

An Associate in this role is required to watch videos of the stowing action at fulfillment centers, understand them thoroughly, and make the best use of human judgment in combination with the tools and resources to indicate the activity captured in the video. They are expected to verify or mark the location of the product through a tool while maintaining the highest level of accuracy. This process helps in maintaining the fulfillment center’s stow quality. This is an operational role. Under general supervision, the Associate performs precise and thorough video/image audits with a high degree of accuracy and speed, thus aiding defect reduction.

Key Job Responsibilities for ML Data Operations

Watch several hundred videos in a shift and provide responses by following goals on accuracy (quality), speed (productivity), and right/acceptable practices.
Take breaks at the pre-defined slots and ensure 6.8 to 7 hours per day is spent answering the videos.
Maintain a dedicated workspace (for remote associates), including a table, chair, and sufficient lighting.
Ensure workspace/work-related data is not accessed by anyone other than the employee.

The candidate is expected to demonstrate:

Willingness to work in a non-tech role for a contract duration of 6 months.
Ability to audit image/video/text-based jobs.
Ability to identify details from blurry or less sharp videos and provide correct responses. Requires a high level of attention and focus on the screen.
Willingness to work on incremental targets/goals for quality and productivity.
Fast pace of implementation and consistent performance.
Ability to work in rotational shifts (including night shifts), with remote teams, and as an exceptionally good team player.
Readiness to come to the office for a few days (when required, applicable for associates working from home).
Willingness to switch on the laptop camera during virtual meetings.

A Day in the Life: Associates work in a 24×7 environment with rotational shifts. They would be working in a 9-hour shift, including pre-scheduled breaks. The shift timings are subject to change every 3-4 months or as per business requirements. In case an associate is working a night shift, a night shift allowance will be provided as per Amazon’s applicable work policy.

Weekly Offs: Rotational two-consecutive day off (it is a 5-day working week with 2 consecutive days off, not necessarily Saturday and Sunday) or as per business discretion.

About the Team: The Data Auditing Operations team provides human support to Amazon Fulfillment facilities with the goal of enabling hands-free active stowing through visual audits on videos/images. Videos with brief durations (typically between 15 and 20 seconds) are sent to the Operations Team for humans to audit them with information on products being stored at fulfillment centers. For business use, these videos must be thoroughly reviewed and audited using the best human judgment. The effectiveness of the automated process will be increased by using videos that Associates have audited. This process helps maintain stow quality at fulfillment centers, and Associates will be further evaluated for performance improvements/coaching.

ML Data Operations: Basic Qualifications

Bachelor’s degree.

ML Data Operations: Preferred Qualifications

Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Interview Questions and Answers for ML Data Operations

1. Can you explain your understanding of this role?

Answer: This role involves watching videos of stowing actions at Amazon Fulfillment Centers and using human judgment along with tools to verify or mark the product’s location accurately. It focuses on auditing videos/images to maintain inventory accuracy and improve stow quality.

2. What skills do you bring to ensure high accuracy and speed in this role?

Answer: My attention to detail, ability to focus for extended periods, and familiarity with image/video analysis enable me to perform audits accurately. I am also adept at meeting productivity targets while maintaining quality standards.

3. How do you handle repetitive tasks without losing focus?

Answer: I break the work into smaller tasks and take scheduled breaks to stay refreshed. My disciplined approach and focus on achieving targets help maintain consistency and quality.

4. How would you approach identifying details in blurry or less sharp videos?

Answer: I would enhance focus by adjusting screen settings for better visibility and rely on my observation skills to identify key details. If required, I would use provided tools to analyze the videos more effectively.

5. Are you comfortable working in rotational shifts, including night shifts?

Answer: Yes, I am flexible and comfortable working in rotational shifts, including night shifts, as required by the role.

6. What steps would you take to ensure data security while working from home?

Answer: I would maintain a dedicated workspace with restricted access, ensure that my work-related data is not shared with anyone, and adhere to Amazon’s security protocols.

7. How do you prioritize tasks under pressure?

Answer: I assess the urgency and importance of tasks, focus on high-priority items first, and maintain a structured workflow to manage pressure effectively.

8. Can you share an instance where you improved the quality or productivity of your work?

Answer: In my previous role, I implemented a system of self-checks to minimize errors, which improved the overall quality and reduced the time spent on rework, resulting in higher productivity.

9. How do you ensure effective communication while working in remote teams?

Answer: I use clear and concise language in all communications, actively participate in virtual meetings, and ensure prompt responses to team members’ queries to maintain seamless collaboration.

10. Why are you interested in this role at Amazon?

Answer: I am excited about this role because it combines technology and human judgment, offers opportunities to improve operational processes, and aligns with my skills in video/image auditing and attention to detail.

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