Computer Code Annotation for AI Training
Labeled and reviewed thousands of code snippets across Python, JavaScript, and Java for training AI coding assistants. Tasks included annotating functions, identifying correct and incorrect implementations, mapping inputs to outputs, and writing evaluation prompts for supervised fine-tuning (SFT). Maintained high-quality standards by verifying accuracy, consistency, and adherence to coding guidelines, contributing to the development of reliable AI models.