Key Skills

Freelancer Overview

I am a PhD-trained researcher in Artificial Intelligence with extensive hands-on experience in high-quality data annotation, labeling, and AI model evaluation across text, image, audio, and video modalities. My background includes designing annotation guidelines, conducting quality audits, and performing error and bias analysis for both academic and industry research projects, particularly in natural language processing and computer vision. I am skilled in human-in-the-loop learning systems, QA processes, and Python-based data analysis, and have contributed to published research on annotation consistency and quality metrics. I am passionate about improving AI reliability through rigorous annotation standards and collaborative workflows, and I bring a strong track record of maintaining accuracy and consistency in large-scale datasets.

Labeling Experience

Education

Work History