alphabet User

I’m an AI Data Annotation Specialist with over three years of hands-on experience in data labeling, including image segmentation, video annotation, LiDAR 3D annotation, and medical image annotation. I’m detail-oriented and focused on delivering accurate, consistent, high-quality results across diverse annotation projects.

On every assignment, I strictly follow detailed guidelines and playbooks to maintain project accuracy. I perform high-volume data labeling with consistent high accuracy, running quality control and using clear instruction following to keep outputs aligned with the dataset requirements.

I’ve annotated and refined datasets for advanced AI training, including object tracking, temporal segmentation across video frames, coronary artery labeling and other anatomical structures, and point cloud annotations for autonomous systems. I also handle content sorting and precise tagging—reviewing text and images, categorizing by meaning, and improving overall dataset quality for NLP and AI models.

I enjoy remote, fast-paced work where reliability matters, and I bring a fully flexible schedule, a quiet workspace, and proficient use of web-based annotation platforms and tools like Microsoft Office and internet research. I’m committed to building datasets that help models learn correctly—whether through bounding boxes, polygons, semantic segmentation, intent labeling, or transcription and subtitling.