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Tier-1 employer and entry-level, high-visibility ML data role attracts many applicants.
Annotation skills transfer easily across ML teams and industries despite dataset-specific training needs.
Bachelor's degree requirement plus strict accuracy metrics and SOP adherence create moderate screening filters.
Perform precise 2D image segmentation and annotation of humans, robots, and carts in multi-modal images (RGB, thermal, grayscale) within defined Regions of Interest.
Ensure high accuracy and productivity according to weekly targets contributing directly to ML pipeline enabling real-time safety decisions in Amazon Robotics fulfillment centers.
Follow SOPs and quality guidelines, review annotations for defects, escalate edge cases, and incorporate feedback for continuous quality improvement in a 24x7 rotational shift environment.
Bachelor's degree.
Experience Required: Not explicitly mentioned in the JD.
Must be able to work flexible schedules, including weekends, nights, and/or holidays as part of a 24x7 rotational shift setup.
Adherence to data confidentiality and security protocols when handling sensitive image/video data.
Detail-oriented individual capable of achieving high accuracy in image annotation within a metrics-driven environment.
Comfortable working in rotational shift patterns, including night shifts and weekend work, with consistency and reliability.
Able to follow precise guidelines and SOPs, adapt quickly to feedback, and maintain performance under operational pressure in a safety-critical AI operations team.