John Richard C.

Precise. Efficient. Dependable. I focus on delivering high-quality annotated data for AI and machine learning projects, with solid experience handling image and video labeling tasks. I’ve worked on various datasets that require careful attention to detail, ensuring every annotation is accurate, consistent, and aligned with project standards. My core strengths include: • Image & Video Annotation • Semantic Segmentation & Masking • 2D and 3D Annotation (Remotasks) • Bounding Boxes, Polygons, and Keypoints • Dataset Organization & Preparation • Quality Assurance and Error Checking I take accuracy seriously, small details matter, and I make sure every output meets the required guidelines. ✨ Tools I’ve worked with: • CVAT • Roboflow • SuperAnnotate • Supervisely • Labelbox • LabelImg • LabelMe In addition to annotation, I also provide support in: 📊 Data & Admin Support • Data Entry and Data Cleanup • Content Review / Moderation • QA and Application Testing • Online Research and General VA Tasks 🎬 Creative Background (Added Advantage) With experience in video editing and design, I have a strong eye for visuals, which is useful when working with media-based datasets: • Adobe Premiere Pro • After Effects • Photoshop & Illustrator • CapCut, Canva, Filmora This combination of technical annotation skills + visual understanding allows me to work effectively on projects involving images, videos, and creative assets. I’m adaptable, quick to learn new systems, and easy to collaborate with. If you’re looking for someone who can deliver accurate annotations and dependable support, I’m ready to contribute to your project.