Key Skills

Software

Appen

Data Annotation Tech

Labelbox

Mercor

Mindrift

Scale AI

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Image

Text

Top Label Types

Prompt Response Writing SFT

Text Generation

Translation Localization

Freelancer Overview

I am a versatile AI data annotation specialist with proven experience evaluating and training models across leading platforms including Outlier.ai, Mindrift.ai, Telus Digital, CrowdGen, and BrainTrust. My work focuses on high-complexity tasks requiring technical expertise: code evaluation and debugging, rubric creation for quality assessment, SQL and Python-based data analysis, and multi-modal annotation spanning text, image, and structured data. I excel at PASS/FAIL evaluations with detailed justifications, ensuring AI models meet rigorous quality standards through systematic rubric-based assessment. What distinguishes me is the intersection of technical coding proficiency and real-world domain expertise. I'm fluent in Python, SQL, JavaScript/TypeScript, and Bash, enabling me to evaluate AI-generated code with deep technical understanding. My background in vehicle mechanics and electrical systems—including active restoration projects on diesel campervans and motorcycles—provides unique domain knowledge for computer vision and autonomous vehicle annotation tasks. As a self-taught developer who transitioned into AI training, I approach annotation work with both the rigor of an engineer and the adaptability of a generalist. I consistently deliver high-quality annotations across diverse project types, from LLM prompt evaluation to computer vision labeling, and I'm committed to continuous learning to stay current with evolving AI training methodologies.

Labeling Experience

Education

Work History