Junior Coding Data Annotator
This project focuses on curating, reviewing, and labeling high-quality code datasets to train and fine-tune large language models to understand, generate, and debug programming code. The goal is to move beyond simple syntax highlighting and teach AI models the context, logic, and best practices of software development.