Key Skills

Freelancer Overview

I am a PhD-trained researcher and AI content evaluator with extensive experience in reviewing and annotating written data for clarity, logic, bias, and accuracy. My background includes qualitative and quantitative analysis, rubric-based scoring, and prompt refinement, allowing me to effectively assess and enhance AI-generated responses. I excel at identifying bias, logical gaps, and hallucinations in model outputs, and I consistently provide clear written justifications for my evaluations. My work spans research consulting, academic peer review, and freelance AI training data projects, where I have developed a strong foundation in human-in-the-loop review and ethical data annotation. I am passionate about producing high-quality training data to support the development of robust and fair AI models, particularly in natural language processing and content evaluation domains.

Labeling Experience

Education

Work History