Data Labelling & Subject Matter Expert, Got It Photostudy
Labeled, annotated, and evaluated academic content in Biology, General Science, and STEM for AI model training. Provided structured feedback on AI outputs, focusing on factual accuracy and scientific correctness. Wrote step-by-step solutions to complex science problems as ground-truth data for machine learning models. • Maintained high accuracy in content tagging and categorization across thousands of data points. • Systematically organized and reviewed educational materials for consistency and quality. • Worked to improve model understanding through Red Teaming and bias/inaccuracy detection. • Ensured scientific soundness and relevance of AI training datasets.