AI Trainer / Subject Matter Expert for Data Labeling and Evaluation
I contributed to the evaluation of AI-generated text, focusing on the accuracy, logical consistency, and clarity of historical and social science content. My work involved identifying argumentative flaws, verifying factual claims using primary sources, and providing precise structured feedback for model alignment and improvement. I utilized my subject matter expertise to ensure high-quality data labeling and robust feedback for AI training and evaluation tasks. • Evaluated the quality and accuracy of text data relating to history, political science, and religious studies • Assessed logical consistency and argumentation to identify weaknesses in AI-generated output • Provided structured, domain-specific feedback to enhance model performance and alignment • Worked with complex, interdisciplinary topics in both Spanish and English