Rex J.

Rhemus J. is a dedicated and detailed-oriented Data Annotator skilled in handling complex datasets for autonomous driving and 3D LiDAR applications. He excels in tasks such as accurate object labeling, quality assurance, and adherence to strict guidelines using tools like CVAT, Supervisely, Labelbox, and Scale. His expertise extends to camera–LiDAR sensor alignment and meticulous object classification and tracking, including handling occlusion and truncation scenarios. As a freelance annotator, Rhemus has demonstrated a commitment to achieving consistency and precision in his work while performing comprehensive quality checks. In addition to annotation, he has foundational training in virtual bookkeeping using QuickBooks Online, enhancing his organizational and administrative skill set. Rhemus's educational background includes studies at Opol National Secondary Technical School and Liceo de Cagayan University, with certifications in bookkeeping from Clair Voyance Training Center further solidifying his diverse competencies.