AI Audio Recording and Evaluation
Project Scope The project focused on supporting AI model development through structured data labeling, image annotation, and AI output evaluation. The objective was to improve model accuracy by ensuring high-quality labeled datasets and consistent evaluation of AI-generated responses. Tasks were performed remotely following defined client guidelines and quality standards. Specific Data Labeling Tasks Performed Image annotation including object identification, classification, and bounding box labeling Reviewing AI-generated outputs for prompt alignment and contextual accuracy Rating responses using structured evaluation rubrics Identifying labeling inconsistencies and correcting classification errors Providing structured feedback to improve model training quality Validating annotated datasets for completeness and logical consistency Project Size Annotated and reviewed hundreds to thousands of image and AI-generated data samples Contributed consistently over multiple evaluatio