Key Skills

Freelancer Overview

I am a data annotation and AI training data specialist with over five years of experience working at the intersection of AI, data analysis, and human behavior. My background includes a PhD in Computational Social Science, where I focused on algorithmic bias in political discourse and large language models. I have labeled and quality-checked over 80,000 data points—including text, images, and video—for projects in NLP, STEM literature tagging, sentiment analysis, and bias detection, consistently achieving high annotator agreement. My expertise spans Python, R, SQL, TensorFlow, PyTorch, LabelStudio, and Prodigy, and I am skilled in developing workflows, rubrics, and assessment standards for AI projects. I am passionate about creating equitable, replicable AI models and have contributed to published research and industry-adopted frameworks for AI fairness and bias mitigation. I excel in remote, asynchronous environments and enjoy collaborating with interdisciplinary teams to improve data quality and model performance.

Labeling Experience

Education

Work History