Key Skills

Software

Appen

CrowdSource

Data Annotation Tech

Labelbox

Mindrift

Remotasks

Snorkel AI

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Image

Text

Top Task Types

Audio Recording

Evaluation Rating

Object Detection

Freelancer Overview

With over 5 years of experience in data labeling and AI training, I specialize in preparing high-quality datasets for machine learning models across NLP, computer vision, and e-commerce applications. My expertise includes annotating multilingual text (English & Swahili), labeling medical imaging datasets for diagnostic AI, and structuring product categorization data for recommendation systems. At Scale AI and Remotasks, I led remote annotation teams, developed labeling guidelines, and implemented quality control measures that improved accuracy by 15%. My work with Sama involved curating ethical, bias-free datasets for Fortune 500 clients, emphasizing my commitment to responsible AI development. What sets me apart is my advanced academic background (MS in AI from Carnegie Mellon) combined with hands-on industry experience. I’ve contributed to open-source annotation frameworks for low-resource languages and trained teams on complex labeling tasks. Proficient in tools like Labelbox, Prodigy, and SageMaker, I bridge technical and operational aspects of AI data pipelines, ensuring datasets meet rigorous standards for model training. My niche in African language datasets and medical AI reflects both regional relevance and global applicability.

Labeling Experience

Education

Work History