LLM Trainer, Turing
As an LLM Trainer at Turing, I worked directly with large language model outputs to evaluate and improve their quality. My role required detailed analysis of edge case scenarios and identification of hallucination patterns within AI-generated responses. I focused on refining prompt–response workflows and providing structured feedback to enhance AI interactions. • Evaluated and rated LLM-generated responses based on established quality standards. • Identified and documented hallucinations and consistency issues. • Provided structured feedback to guide model improvements using proprietary frameworks. • Collaborated with development teams to enhance prompt engineering processes.