Automation Engineer & AI Pilot—AI Data Evaluation and Quality Control
Oversaw and executed evaluation and quality control of AI-generated text in high-scale, hybrid AI-human data extraction workflows. Ensured 99.5% accuracy through systematic validation of labeled data sourced from dynamic, JavaScript-heavy environments. Managed expert review and critical analysis of structured datasets for downstream AI training integration. • Monitored accuracy and fidelity of labeled datasets for machine learning. • Directed tandem agent system for human-in-the-loop validation. • Led quality assurance process for automation pipeline outputs. • Integrated evaluation workflows with proprietary and open-source tooling.