STEM Expert AI Data Trainer, Invisible Technologies
Developed and validated technical documentation for AI model training with a focus on engineering applications, ensuring high accuracy and relevance to the subject matter. Provided real-time feedback to improve AI reasoning and performance on complex engineering problems. Collaborated with technical teams to streamline annotation workflows and enhance model learning processes. • Ensured accuracy in AI-generated solutions for thermodynamics, dynamics, and statics. • Achieved a quantified improvement in model performance following training interventions. • Optimized annotation and QA procedures for engineering-related data. • Employed engineering SME knowledge for in-depth review and feedback cycles.