AI Data Trainer & Prompt Engineer
As an AI Data Trainer & Prompt Engineer at Uber AI Training, I designed and refined prompts to align large language models with task-specific requirements. I performed hands-on AI output evaluation and enrichment, delivering structured, high-quality datasets for fine-tuning and iterative model improvement. My work focused on prompt optimization, automation of data validation, and collaborative work within hybrid AI-human systems. • Developed, reviewed, and tested 200+ prompts targeting different real-world tasks • Automated data validation and formatting pipelines using Python, ensuring delivery in standardized CSV and JSON formats • Performed quality control and annotation of AI-generated content, emphasizing structured and actionable output • Leveraged LLM APIs for classification, extraction, and data enrichment across multiple datasets