AI Data Trainer & Prompt Engineer
As an AI Data Trainer & Prompt Engineer at Uber AI, I designed and refined prompts to train large language models. I contributed to building, validating, and formatting large text datasets for model alignment and quality improvement. My work included quality control of annotated data and iterative review cycles to optimize model outputs. • Developed and iterated 200+ task-specific LLM prompts for real-world tasks. • Automated data extraction, classification, and enrichment using LLM APIs and Python scripts. • Enforced strict quality standards and schema validation in CSV/JSON dataset deliveries. • Collaborated in a hybrid human-AI workflow to supplement automated agent outputs.