AI Training Data Evaluator – Financial Data Consistency & Logic Checking
I applied rigorous analytical reasoning in evaluating AI-generated financial data for consistency and logic. My work involved reviewing generated outputs, identifying and documenting anomalies or inaccuracies, and validating the structure of relational data. I harnessed technical and domain expertise to ensure the highest quality of AI training data. • Reviewed and rated AI-generated data outputs. • Conducted statistical analysis for data validation. • Identified discrepancies and suggested refinements for model improvement. • Focused on finance and business-related subject matter.