LLM Trainer
As an LLM Trainer, responsible for training and evaluating large language models through code-centric tasks. Crafted and reviewed coding prompts, ensuring high-quality annotation and feedback for AI outputs. Enhanced model instruction-following and debugging skills via structured evaluation and real-world workflow simulations. • Focused on JavaScript, Python, HTML, and Bash code samples • Utilized annotation tools to simulate developer workflows and data annotation processes • Emphasized correctness, semantic reasoning, and edge-case detection in labels • Collaborated with researchers and engineers to maintain annotation consistency