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Appen
Clickworker
Data Annotation Tech
Labelbox
Remotasks
Toloka
Scale AI
Label StudioNo subject matter listed
Image
VideoExperienced Data Labeling Specialist with over 3 years of expertise in AI training data preparation, particularly in autonomous driving and computer vision projects. Proficient in annotating multi-modal datasets including image, video, audio, and text using industry-standard tools like INTERNALTOOL, Labelbox, and Label Studio. Specialized in self-driving car imagery annotation, LiDAR point cloud labeling, and traffic scene segmentation with a strong focus on quality, accuracy, and consistency. I have worked on large-scale projects involving 2D/3D object detection, semantic segmentation, pedestrian and vehicle tracking, and environmental sound classification. With a solid understanding of data pipelines and model impact, I ensure labeled data meets project-specific guidelines and quality standards. My hands-on experience with real-world scenarios, edge case handling, and QA processes makes me a reliable contributor to high-performance AI systems
Text annotation for image-to-text recognition (mobile app, Apple client) annotated multilingual image-extracted text, corrected OCR errors, tagged text positions/styles
Video data labeling for autonomous vehicle perception systems annotated objects (vehicles, lanes, pedestrians) to support machine-learning model training.
Worked on high-volume AI training projects for autonomous vehicles, handling over 10,000+ image frames, 100+ hours of video, and multi-modal datasets (LiDAR, audio, text). Responsibilities included image segmentation, 3D object annotation, multi-object tracking, and QA review. Ensured 99% labeling accuracy, adhered strictly to client-specific ontologies, deadlines, and data privacy guidelines. Collaborated with annotation leads and quality teams to deliver high-quality, production-ready data on time
Junior College Certification, CEC
Bachelor of Commerce, Computer Applications
Process Executive
Accountant
