Data Annotation
Emma Eddy annotated and reviewed medical data to improve AI accuracy and challenge machine learning models. She evaluated and ensured high-quality responses for general question datasets, maintaining overall data integrity. She identified errors and inconsistencies in annotation to contribute to enhanced AI training outcomes. • Conducted detailed quality assessments to improve AI response reliability. • Performed annotation review workflows for medical-related inputs. • Checked for labeling consistency and correctness across examples. • Supported improvements in dataset quality for model training.
2026 - Present