Associate, ML Data Operations, GO-AI Operations

Amazon, a global e‑commerce and cloud‑computing giant, has built a reputation for relentless customer obsession, innovation at scale, and a culture that encourages ownership at every level. In India, Amazon operates massive fulfillment networks, AI‑driven logistics, and a suite of consumer services that touch millions of daily users. The company invests heavily in cutting‑edge robotics and machine‑learning solutions to keep its warehouses fast, accurate, and safe.

Employees get to work on problems that affect real‑world supply chains, with ample opportunities for cross‑functional learning and rapid career progression.

The role of Associate, ML Data Operations – GO‑AI Operations is a contract position (6 months) that sits within the Data Auditing Operations team. The team acts as the human‑in‑the‑loop for Amazon Robotics fulfillment centers, reviewing short video clips of stowing actions to verify product placement. By providing high‑quality annotations, the associate helps improve the accuracy of automated stow‑quality models, directly influencing inventory accuracy and customer satisfaction.

The job is primarily operational, requiring sharp visual attention, disciplined adherence to quality metrics, and the ability to work in a 24 × 7 shift environment, including night shifts and occasional office days.

Key Responsibilities

• Watch 200‑300 short (15‑20 sec) video clips per shift and accurately label product locations.
• Maintain predefined accuracy (quality) and productivity (speed) targets.
• Use the internal annotation tool to mark items, ensuring consistency with Amazon’s guidelines.
• Identify and flag blurry or ambiguous footage, providing corrective notes.
• Follow scheduled break times and ensure 6.8‑7 hours of active video‑review per day.
• Work rotational shifts, including night shifts, and adapt to schedule changes every 3‑4 months.
• Keep a dedicated, distraction‑free workspace when working from home.
• Switch on laptop camera for virtual meetings and compliance checks.
• Collaborate with remote teammates, sharing best practices to improve overall audit quality.
• Participate in periodic performance coaching sessions to enhance speed and accuracy.

Tech Stack & Tools: The role uses Amazon‑internal video‑annotation platforms, basic Windows/macOS environments, and standard productivity tools (Excel, Outlook). No deep programming knowledge is required, but familiarity with file handling and UI navigation is beneficial.

Growth Path: High‑performing associates can transition to permanent roles in data operations, quality engineering, or even machine‑learning annotation specialist positions. Amazon often promotes internal talent to supervisory or analyst roles based on performance metrics.

Why Join: Working at Amazon provides exposure to world‑class logistics technology, a fast‑paced environment that rewards precision, and a clear pathway to longer‑term opportunities within one of the most respected tech companies globally.