Key Skills

Software

Data Annotation Tech

Labelbox

Mindrift

Appen

Top Subject Matter

Healthcare & Life Sciences

Linux and Cloud Computing

Data Analytics & Infrastructure

Top Data Types

Text

Document

Image

Top Task Types

Entity Ner Classification

RLHF

Data Collection

Freelancer Overview

My experience in data labeling and AI training is centered on high precision environments where logical consistency and accuracy are paramount. As a Systems Enroller for the World Health Organization, I executed large scale digital enrollment using specialized mobile data collection tools, maintaining a 99 percent data accuracy rate through rigorous validation protocols. This role required navigating complex data structures and collaborating with technical teams to optimize workflows, ensuring all data was correctly categorized and verified before delivery. Additionally, as a Clinical Support Assistant, I managed Electronic Health Records (EHR) within HIPAA compliant frameworks, sharpening my ability to handle sensitive information with extreme attention to detail. What sets me apart is the intersection of my scientific background and technical certifications. With a B.Sc. in Biological Sciences, I provide the academic rigor necessary for STEM related AI training. This is complemented by my status as an AWS Tech Support Specialist and proficiency in Linux and cloud administration, allowing me to understand the technical infrastructure of the models I am training. Whether cleaning datasets using advanced Excel or leveraging UI/UX principles to evaluate AI generated content, my focus remains on delivering structured, high quality data to improve model reasoning and technical accuracy.

Labeling Experience

Education

Work History