Associate, ML Data Operations, GO-AI Operations

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 under general supervision. You have the ability to follow established goals on accuracy and productivity while managing your time effectively throughout your shifts. You are committed to delivering the best results for customers and can adapt to the operational requirements of the role. You are also able to maintain a dedicated workspace if working from home, ensuring that your work-related data remains secure and confidential.

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 quality and productivity goals. Your primary responsibility will be to verify or mark the location of products captured in the videos, ensuring the highest level of accuracy in your assessments. You will utilize tools and resources to indicate activities observed in the videos, contributing to the overall stow quality at fulfillment centers. You will be expected to manage your breaks effectively and ensure that you spend the required time each day on video auditing tasks. Your role is crucial in aiding defect reduction and supporting the operational efficiency of Amazon's fulfillment technologies.

What we offer

Amazon provides a supportive work environment where you can develop your skills in data operations and automation. You will have the opportunity to contribute to innovative processes that enhance the efficiency of fulfillment centers. The role offers a structured schedule with defined breaks, allowing you to maintain a healthy work-life balance. You will be part of a team that values accuracy and speed, and your contributions will directly impact the quality of service provided to customers. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse backgrounds and perspectives.