Senior AI Data Annotator
• Annotated 500,000+ images and video frames for autonomous vehicle and robotics clients, maintaining 98.7% accuracy across bounding box, segmentation, and keypoint tasks. • Led a team of 6 annotators on a 12-month computer vision project, reducing error rates by 22% through targeted quality audits and feedback sessions. • Transcribed and labeled 1,200+ hours of multilingual audio/video content for ASR model training, achieving a <2% error rate verified by QA leads. • Designed ontologies and labeling guidelines in Labelbox for 4 client projects, streamlining onboarding time by 30%. • Performed RLHF (Reinforcement Learning from Human Feedback) tasks — rating and ranking AI-generated responses for alignment and safety — contributing to LLM fine-tuning pipelines.