Associate, ML Data Operations, GO-AI Operations

About the Role

Amazon Robotics develops state-of-the-art robotics for Amazon’s Fulfillment Centers. The Global Operations - Artificial Intelligence (GO-AI) team enables Amazon to accelerate and scale machine learning transformation via human-in-the-loop support. As an Associate, ML Data Operations, you will be a vital Human-in-the-Loop expert in a non-technical role, responsible for executing data annotation tasks. Your work directly supports the training and validation of machine learning models for Amazon Robotics and Fulfillment Technologies.

Key Responsibilities

• Perform precise and consistent annotations across multiple data types (image, video, and text). This includes mastering techniques like object detection, semantic segmentation (pixel-level labeling), object tracking in video, and open-text evaluation.
• Proactively identify and correct errors, ensuring high data integrity.
• Leverage strong judgment to address ambiguous situations and propose logical, consistent solutions that contribute to process improvement.
• Quickly learn and efficiently utilize various specialized annotation tools and platforms, adapting to new methodologies as required.
• Analyze processes such as packaging innovation, object manipulation, inventory storage, and sortation automation within fulfillment environments.
• Undertake foundational labeling functions, such as dialogue evaluation on speech, text, audio, and video data.
• Adhere to goals for accuracy (quality) and speed (productivity).
• Ability to scale and transition between multiple programs based on business needs.

Requirements & Tech Stack

• This is a non-technical, operational role that requires adhering to process-oriented skills, not programming skills.
• Comfortable working in a collaborative environment with remote, multi-cultural teams, willing to share knowledge, and able to maintain individual productivity goals.
• Willingness to quickly adapt to new annotation methodologies.
• Good communication skills with the ability to articulate complex ideas and provide clear explanations.
• Requires strong attention to detail.
• Ability to make sound judgments using provided resources.
• Work from home (VCC) with a 9-hour shift and adequate network coverage with a reliable ISP (internet >=20 MBPS speed or higher).
• Maintain a dedicated workspace (table, chair & sufficient lighting).
• Workspace / work-related data shouldn’t be accessed by anyone other than the employee.

Qualifications

• Bachelor's degree.
• Experience in data annotation or similar high-volume, quality-focused roles.
• Work in a flexible schedule/shift/work area, including weekends, nights, and/or holidays.

Additional Notes:

• This is a contract position with the potential to transition to a full-time employee role.
• Associates work in a 24x7 environment with rotational shifts.
• Shift and break timings are subject to change.
• Night shift allowance will be provided as per applicable Amazon’s work policy.
• Weekly Offs: Rotational two-consecutive days off (5-day working week).
• Selected candidates will participate in a structured one-week training program.