Freelance AI Trainer
Evaluated AI model outputs for errors, bias, and inconsistencies as part of model improvement tasks. Applied annotation standards to support model reliability and understanding. Provided structured feedback on AI performance adhering to project guidelines. • Assessed model outputs for relevance and accuracy. • Identified sources of bias and proposed corrections. • Enhanced data quality through iterative review. • Maintained thorough documentation on model evaluation findings.