AI Data Labeling and Evaluation Contributor
Contributed to AI training and evaluation projects on platforms such as Scale AI, Mindrift, and Xelron, focusing on structured data labeling and prompt refinement. Improved AI model quality through systematic text annotation and evaluation tasks. Projects included evaluating machine learning outputs for accuracy and providing detailed feedback for model improvement. • Participated in prompt development and review to optimize natural language model outputs. • Labeled text data across diverse subject matters to enhance data quality and training efficacy. • Performed structured data annotation and results validation for multiple projects. • Utilized different platform guidelines and workflows to ensure labeling consistency and high-quality results.