Key Skills

Freelancer Overview

I bring strong analytical and quality control experience that aligns closely with data labeling and AI training workflows. In my environmental engineering role, I routinely review, validate, and classify large technical datasets, including emissions inventories and regulatory submissions. This involves identifying inconsistencies, correcting misclassifications, standardizing categories, and ensuring accuracy across structured databases. My work requires precision, logical reasoning, and strict adherence to defined criteria, core skills in high-quality annotation and training data preparation. In addition, I have experience reviewing technical documents, extracting structured information, and organizing research datasets for environmental and sustainability projects. My background in engineering and quantitative analysis allows me to interpret complex scientific content accurately while maintaining consistency and attention to detail. I am particularly well-suited for AI training projects involving technical, mathematical, regulatory, or analytical subject matter.

Labeling Experience

Education

Work History