Key Skills

Software

Appen

Clickworker

CrowdSource

Data Annotation Tech

Deep Systems

Encord

Mighty AI

OneForma

Remotasks

Scale AI

Surge AI

Other

Top Subject Matter

No subject matter listed

Top Data Types

Document

Image

Text

Top Task Types

Classification

Evaluation Rating

Land Cover Classification

Mapping

Question Answering

Freelancer Overview

I’ve spent the last few years deep in the trenches of AI training data—meticulously labeling, annotating, and refining datasets to teach machines how to understand our world. Whether it was tagging medical scans to help detect early signs of disease, moderating content to keep online platforms safe, or fine-tuning chatbots to sound more human, I’ve learned that great AI starts with clean, thoughtful data. What I bring to the table isn’t just accuracy (though I’m obsessive about that), but also a knack for spotting edge cases and inconsistencies that can derail a model’s performance. I’ve worked with everything from simple bounding boxes to complex semantic segmentation, and I love the challenge of translating vague guidelines into precise, actionable labels. Outside of tools like Label Studio and Prodigy, I’ve also collaborated directly with ML teams to troubleshoot ambiguities—because sometimes, the real skill is asking the right questions. When I’m not labeling data, you’ll probably find me [brief hobby e.g., “geeking out over linguistics” or “testing how many coffee mugs can fit on my desk”]. Turns out, a detail-oriented mindset spills over into everything!

Labeling Experience

Education

Work History