AI Automation Underwriting Data Annotator (Project Lead)
Partnered with cedents across LatAm to develop and implement the first AI automated underwriting robot for the region. Labeled and curated underwriting and risk decision data to train the AI model on insurance-specific classifications. Provided feedback and annotation on false positives/negatives to iteratively improve model performance. • Led multi-country collaboration for dataset standardization and labeling guidelines • Focused on insurance risk factors, product class, and underwriting decision data types • Conducted quality checks and validation rounds for model-ready data • Used internal/proprietary tooling developed by the automation team