Outlier AI
Contributed to the training and evaluation of AI models focused on code generation and structured data analysis, designing and refining prompts to improve model performance, accuracy, and consistency. Assessed AI-generated code for quality, best practices, and efficiency, and validated model interpretations of spreadsheet data, including Likert scale and other common classification systems, ensuring reliable quantitative and qualitative analysis outputs.