Vanessa Conley

Key Skills

Software

No software listed

Top Subject Matter

AI Tutoring

Computer Programming Education

Top Data Types

Text

Top Task Types

Prompt Response Writing SFT

Freelancer Overview

With a strong foundation in computer science and hands-on experience in data extraction and pipeline development, I have supported AI/ML initiatives through high-quality data labeling, annotation, and training data preparation. I have worked on projects involving structured and unstructured data from scraping and cleaning web content to categorizing text, tagging entities, and validating datasets for NLP and computer vision models. My technical proficiency in Python, Pandas, and regex enables me to automate repetitive labeling tasks, implement consistency checks, and ensure data integrity at scale. I am familiar with annotation platforms (Label Studio, Prodigy, CVAT) and best practices for inter-annotator agreement, bias mitigation, and version-controlled dataset management. What sets me apart is my ability to bridge technical engineering with instructional clarity: I don't just label data—I document schemas, create labeling guidelines, and train team members to maintain quality standards. For example, I recently developed a semi-automated pipeline using Playwright and Claude to extract job postings, then designed a taxonomy for skill/entity tagging that improved downstream model precision by 22%. Combined with my experience writing technical documentation and mentoring peers, I bring both precision and scalability to AI training data workflows ensuring datasets are not only accurate, but also actionable for model development teams.

Labeling Experience

Education

Work History