At CluttorBot, I annotated image, text, audio, and video datasets for AI and Machine Learning projects. I maintained annotation accuracy above 98% and reviewed and validated work completed by team members.
At Sunix Ai, I annotated datasets for computer vision and natural language processing applications, including image classification, object detection, text categorization, and sentiment labeling. I conducted quality checks before dataset submission.
As a Data Annotator intern at Parallel Dots, I worked on image classification, object detection, text categorization, and sentiment labeling, and conducted quality checks before submission.
Across multiple AI projects, I completed 500,000+ annotations. My project work includes autonomous-driving image annotation, NLP classification, speech transcription validation, and frame-by-frame video annotation.
