joel lunani

I am a meticulous and detail-oriented Data Annotation Specialist with over 7 years of experience enhancing human data for AI and machine learning projects. My expertise lies in annotating diverse data types, including text, images, audio, and video, utilizing advanced labeling tools such as LiDAR, Labelbox, and Prodigy. I thrive in high-volume, quality-controlled environments and am adept at following complex guidelines to ensure consistency and improve project outputs through precise, high-quality annotations.

Throughout my career, I have successfully conducted large-scale annotation tasks for various AI training datasets. At Aligner, I collaborated with project teams to clarify edge cases and enhance annotation standards. My role at Mindrift involved leading data labeling tasks and refining machine learning datasets for NLP and computer vision models, where I consistently exceeded quality benchmarks. As a Freelance Data Annotator with Toloka, I delivered high-volume outputs while maintaining quality control and reporting guideline ambiguities to improve labeling instructions.

Currently, I specialize in LiDAR annotation and segmentation for autonomous driving datasets at Remotasks, where I have achieved top-tier accuracy across multiple annotation types. My commitment to excellence and continuous improvement drives my passion for data annotation, and I am eager to contribute my skills to innovative projects in the AI/ML space.