Key Skills

Software

AWS SageMaker

Clickworker

Data Annotation Tech

Labelbox

Lionbridge

Internal/Proprietary Tooling

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Image

Text

Top Task Types

Computer Programming Coding

Data Collection

Evaluation Rating

Prompt Response Writing SFT

Red Teaming

Freelancer Overview

An expert in data annotation and schema design, I have spent years crafting clear, robust annotation guidelines that drive consistency across both text and image labeling projects. Beginning with taxonomy creation and schema development, I define entity classes, multi-label hierarchies, and rating scales that enable reliable supervised classification. My hands-on work includes building inter-annotator agreement protocols, conducting regular QA audits, and refining rubrics to boost labeler accuracy—ensuring high-quality training data for both NLP and computer-vision models. In addition to guideline engineering, I excel at end-to-end annotation workflows: from batch setup in platforms like Labelbox and Prodigy, through iterative label review, to final data validation and feedback loops. I routinely perform error-analysis on edge cases, optimize annotation throughput with targeted training sessions, and collaborate closely with model developers to align data outputs with performance goals. This blend of schema expertise, rigorous QA, and cross-functional communication delivers scalable, reliable datasets that power next-generation AI systems.

Labeling Experience

Education

Work History