Associate, ML Data Operations, GO-AI Operations

Candidates typically face an online assessment testing numerical reasoning and alignment with Amazon's leadership principles, followed by a virtual interview where they discuss sample video‑audit scenarios and demonstrate their attention to detail. The process is concise, usually completed within one to two weeks.

Amazon promotes a high‑performance, data‑driven culture with a strong focus on customer obsession, ownership, and rapid execution, offering clear career pathways and a merit‑based environment.

Bachelor's degree in any discipline; ability to work flexible schedules including nights, weekends, and holidays; basic computer proficiency; high attention to detail.

Round 1: Online Assessment (numerical reasoning and Amazon work‑style questionnaire); Round 2: Virtual Operations Interview (scenario‑based questions on video auditing and accuracy); Round 3: HR Discussion (availability, contract terms, cultural fit).

Amazon, a global leader in e‑commerce and cloud computing, operates one of the largest fulfillment networks in the world. The company’s Indian operations span multiple cities, providing end‑to‑end logistics, technology, and AI‑driven solutions to serve millions of customers. The role of Associate, ML Data Operations – GO‑AI Operations is part of the Data Auditing Operations team that supports Amazon Robotics Fulfillment Centers. The team’s primary mission is to ensure inventory accuracy by performing human‑in‑the‑loop audits of short video clip s (15‑20 seconds) that capture stowing actions inside fulfillment centers. These audits help train and validate automated vision models, improve stow quality, and reduce defects. As an Associate, you will watch several hundred videos per shift, identify product locations, and mark them using a proprietary tool while maintaining high accuracy and speed. The job requires keen attention to detail, the ability to interpret blurry or low‑resolution footage, and consistent adherence to quality and productivity targets. You will work in a 9‑hour shift that includes pre‑scheduled breaks, with rotational shift patterns that may change every 3‑4 months. Night‑shift allowances are provided as per Amazon policy. The role is contract‑based for six months, with the possibility of extension based on performance. Employees may work from the Amazon Dev Center in Hyderabad or from a home‑based workspace that meets Amazon’s standards for lighting, ergonomics, and data security. The position demands flexibility, teamwork, and a willingness to switch on a laptop camera during virtual meetings. Growth opportunities include exposure to cutting‑edge AI and robotics workflows, potential transition to full‑time operations or data‑science roles, and access to Amazon’s internal learning platforms. The work environment is fast‑paced, data‑driven, and emphasizes ownership, customer obsession, and continuous improvement. Candidates are expected to meet basic eligibility criteria, demonstrate strong visual‑analysis skills, and thrive in a 24×7 operational setting.