Prompt Engineer/Data Labeling Specialist
I applied prompt engineering and data labeling expertise to evaluate and improve large language model (LLM) generated outputs. My responsibilities included using AI tools to assess AI-human collaboration efficiency and optimize workflows. I synthesized unstructured data into structured formats to support model training and alignment tasks. • Evaluated logical consistency and accuracy of AI-generated responses. • Designed structured label taxonomies for data synthesis and quality assurance. • Utilized advanced LLM platforms (Claude, Antigravity) and AI IDEs (Cursor, Windsurf). • Conducted quality checks and flagged edge cases or ambiguous responses.