Customer Operations • Entry-Level

Who you are

You are detail-oriented and capable of performing precise video audits with a high degree of accuracy and speed. You understand the importance of maintaining inventory accuracy in a fast-paced environment and are comfortable working with video and image data. You are able to follow established goals on accuracy and productivity while managing your time effectively throughout your shifts.

You have a strong sense of responsibility and are committed to delivering the best results for customers. You are adaptable and can work under general supervision, demonstrating the ability to make sound judgments based on the information presented in the videos you review. You are also able to maintain a dedicated workspace if working from home, ensuring that your work environment is conducive to productivity.

What you'll do

As an Associate in ML Data Operations, you will watch several hundred videos during your shifts, providing responses that adhere to strict accuracy and productivity goals. Your primary responsibility will be to verify or mark the location of products as captured in the videos, ensuring that the fulfillment center maintains high stow quality. You will be expected to take breaks at predefined slots and manage your time effectively to meet the daily requirements of 6.8 to 7 hours spent on video auditing.

You will work closely with the internal Fulfillment Technologies and Robotics teams, contributing to the automation processes that enhance operational efficiency. Your role is crucial in supporting the fulfillment centers by enabling accurate inventory management through thorough video audits. You will also be expected to follow best practices and maintain a high level of accuracy in your work, which is essential for defect reduction in the fulfillment process.

What we offer

Amazon provides a dynamic work environment where you can grow your skills in data operations and automation. You will be part of a team that plays a vital role in the efficiency of fulfillment centers, contributing to the overall success of Amazon's operations. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse backgrounds and perspectives.