Advanced AI Data Trainer at OpenTrain AI
Trained and evaluated AI models using annotated datasets while applying feedback loops to improve performance over time. Focused on validating the quality of training inputs to ensure reliable learning outcomes and reduce noise in the dataset. Supported iterative model development by continuously refining dataset inputs and assessing their impact on model accuracy. • Used annotated datasets as training material for AI model improvement. • Implemented feedback loops to enhance model performance through iteration. • Performed validation and quality assurance checks on data inputs. • Coordinated with data scientists to refine training methodologies.