Video Data Annotator, Atlas AI
I annotated over 1,000 minutes of video data for machine learning model training, achieving a high standard of accuracy. My work involved adhering strictly to project guidelines and the specific taxonomies necessary for high-quality dataset creation. I was responsible for the consistent delivery of accurate, high-fidelity datasets as verified through quality assurance audits. • Labeled complex video content for AI/ML model development • Achieved a 98% accuracy rate as measured in QA audits • Followed detailed taxonomy and project-specific standards • Contributed to the timely completion of large-scale video annotation projects