Data Annotation Specialist (Contract) at Aligner AI
ImageBounding Box
I performed high-volume image and video labeling using proprietary annotation tools for computer vision and machine learning models. I maintained a 98.7% labeling accuracy while annotating over 9,000 images and 600 video clips monthly and exceeded throughput targets. I followed detailed labeling guidelines, identified and flagged model failure cases, and collaborated with engineering to ensure data quality.
• Used bounding boxes, polygons, semantic and instance segmentation, and key point labeling as primary annotation types.
• Escalated ambiguous cases via internal systems to maintain consistency.
• Tracked and reported progress and quality metrics.
• Contributed to high-volume pipeline acceleration for computer vision tasks.
I performed high-volume image and video labeling using proprietary annotation tools for computer vision and machine learning models. I maintained a 98.7% labeling accuracy while annotating over 9,000 images and 600 video clips monthly and exceeded throughput targets. I followed detailed labeling guidelines, identified and flagged model failure cases, and collaborated with engineering to ensure data quality. • Used bounding boxes, polygons, semantic and instance segmentation, and key point labeling as primary annotation types. • Escalated ambiguous cases via internal systems to maintain consistency. • Tracked and reported progress and quality metrics. • Contributed to high-volume pipeline acceleration for computer vision tasks.
2024 - 2026