AI Data Specialist & Annotation Lead
I led annotation and data labeling initiatives for computer vision and AI/ML training pipelines involving image, video, text, and audio data. I performed tasks such as Named Entity Recognition (NER), intent classification, sentiment analysis, semantic similarity scoring, transcription, and quality review. I used annotation tools including Scale AI, Remotasks, Appen, Labelbox, CVAT, and Label Studio to ensure high-quality and accurate labels. • Conducted image and video annotation with bounding boxes, polygons, keypoints, and segmentation masks • Performed transcription and quality review on over 200 hours of audio content for ASR model training • Labeled and classified large text datasets using NER, intent, and sentiment analysis • Participated in RLHF and Constitutional AI projects by ranking and rating model output, writing prompt-response pairs, and identifying hallucinations