AI Trainer / AI Data Specialist (Freelance Remote) — May 2025 to Present
Evaluated AI-generated responses for accuracy, relevance, factual correctness, safety, and consistency to support model performance and reliability improvements. Analyzed datasets and model outputs to identify patterns, gaps, inconsistencies, and optimization opportunities. Produced structured prompts and testing scenarios to improve reasoning, comprehension, and response quality. • Performed detailed data annotation and labeling for machine learning and NLP initiatives. • Conducted quality assurance reviews to ensure training data met project guidelines, standards, and documentation requirements. • Collaborated with distributed teams in remote environments to support AI training and evaluation projects. • Reviewed documentation and workflows to find process improvement opportunities while meeting quality benchmarks.