Jude E.

Key Skills

Software

Internal/Proprietary Tooling

Top Subject Matter

AI Training Data & Data Annotation

Computer Vision & Image Segmentation

Healthcare & Life Sciences

Top Data Types

Image

Top Task Types

Bounding Box

Segmentation

Freelancer Overview

I have hands-on experience in data labeling and AI training data through my work with Datamaker.io, where I supported the preparation of high-quality datasets for machine learning models. My work involved data labeling, annotation, and semantic segmentation, requiring strong attention to detail, consistency, and accuracy. I understand how properly labeled data affects model performance, and I am comfortable following detailed guidelines to ensure clean and reliable outputs. What sets me apart is my ability to combine careful labeling work with a strong interest in AI, data quality, and emerging technology. I am detail-oriented, fast to learn new tools, and able to work independently in a remote environment. My experience with semantic segmentation has also helped me develop strong visual judgment, patience, and precision, which are important for producing training data that AI systems can trust.

Labeling Experience

Data Labeling and Semantic Segmentation Project at Datamaker.io

ImageSegmentation

I worked on AI training data projects with Datamaker.io, focusing on data labeling and semantic segmentation for computer vision datasets. My role involved reviewing image data, identifying objects or regions of interest, and accurately labeling each segment based on project guidelines. The project required strong attention to detail, consistency, and accuracy because the labeled data was used to train and improve machine learning models. I followed annotation instructions closely, maintained clean labeling standards, and reviewed my work to reduce errors before submission. This experience helped me build practical skills in image annotation, dataset preparation, quality control, and remote task delivery.

2020 - 2020

Education

Work History