Freelance AI Trainer & Data Annotator – STEM/Engineering Domains
As an independent AI Trainer and Data Annotator, I specialize in evaluating AI outputs and annotating STEM-focused data. My work involves reviewing technical engineering and mathematics content, assessing code correctness, and verifying AI-generated problem solutions. I handle tasks such as content categorization, LLM evaluation, red teaming, and hallucination detection across engineering and mathematics domains. • Evaluated LLM responses for accuracy, helpfulness, reasoning, and instruction-following in STEM domains. • Annotated and categorized technical engineering and mathematics texts with high precision. • Reviewed and rated code outputs and mathematical reasoning for quality, correctness, and efficiency. • Conducted technical QA, generated questions, and performed preference ranking for AI model improvement.