Frank Warren

I am a detail-oriented Data Annotation Specialist with extensive experience in image, text, video, and LiDAR annotation. My proficiency in bounding box annotation, semantic segmentation, transcription, and data labeling for AI model training has allowed me to contribute significantly to various AI-driven projects. I have a strong background in using annotation tools such as Labelbox, Scale AI, and Amazon Mechanical Turk to create high-quality datasets that enhance machine learning model accuracy.

Throughout my career, I have focused on quality control, guideline development, and dataset optimization. At Scale AI, I labeled and annotated large datasets for computer vision and NLP models, ensuring high-quality training data while conducting QA reviews to maintain data integrity. I also trained and mentored new annotators, fostering adherence to best practices and improving overall workflow efficiency.

My educational background includes a Bachelor of Science in Computer Science from New York University, where I focused on Data Science and Artificial Intelligence. I am eager to leverage my annotation expertise to contribute to innovative AI projects and help drive advancements in this exciting field.