AI Data Annotation & Model Evaluation Contributor
Worked as an AI data annotation and evaluation contributor, focusing on both text-based and video-based datasets used for machine learning model training. Responsibilities included labeling structured datasets, tagging objects, actions, and events in video content, and evaluating AI-generated responses for accuracy, relevance, and instruction adherence. Performed side-by-side comparison of AI outputs to identify errors, inconsistencies, and missing details. Provided structured feedback to improve model performance and ensure high-quality training data. Followed strict annotation guidelines, quality control standards, and task-specific instructions to maintain consistency and reliability across all labeled data. Ensured attention to detail and accuracy in every task, contributing to improved dataset quality for AI system development.