I am a detail-oriented Data Annotation Specialist with several years of experience working on image, video, and LiDAR annotation projects for AI and machine learning applications. I have a strong background in handling large-scale datasets, ensuring high accuracy, consistency, and strict compliance with annotation guidelines.
I have worked with multiple industry-standard tools including CVAT, V7, Supervisely, Amazon SageMaker, Remotasks, Kognic, and UAI. My experience covers a wide range of annotation tasks such as bounding boxes, semantic segmentation, polyline annotation, object classification, and frame-by-frame video labeling.
In addition to annotation work, I have experience in quality assurance and review, helping maintain data accuracy and supporting tea-----------mbers in meeting project standards. I have also worked on geospatial data annotation and LiDAR point cloud projects, contributing to datasets used in autonomous driving and AI model training.
I am self-motivated, reliable, and capable of working independently in remote environments while consistently meeting deadlines and quality targets. I am committed to delivering precise, high-quality annotations that improve model performance and support the development of advanced AI systems.
