Programming
I handle codebase annotation and code evaluation for programming datasets, specifically focused on reviewing, labeling, and debugging scripts to train AI models. My day-to-day involves breaking down complex code blocks, verifying logic, and ensuring syntax accuracy across different frameworks. Because I manually test edge cases and enforce strict quality checks, the resulting dataset is highly accurate, clean, and optimized for training robust, code-generation models