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E

Edward Udoette

AI Data Annotator (Medical Projects)

England flagCoventry, England
$20.00/hrEntry LevelLabelboxCVAT

Key Skills

Software

LabelboxLabelbox
CVATCVAT

Top Subject Matter

Medical image and clinical text AI training
Medical image annotation for disease detection
Clinical text annotation for AI model training

Top Data Types

TextText
ImageImage
DocumentDocument

Top Task Types

Bounding BoxBounding Box
Object DetectionObject Detection
Entity (NER) ClassificationEntity (NER) Classification

Freelancer Overview

AI Data Annotator (Medical Projects). Core strengths include Labelbox and CVAT. Education includes Master of Science, University of Texas at Austin (2025) and Bachelor of Science, University of California, Irvine (2024). AI-training focus includes data types such as Medical, DICOM, and Text and labeling workflows including Bounding Box, Object Detection, and Entity (NER) Classification.

Entry LevelEnglish

Labeling Experience

Labelbox

Clinical Text Classification Project

LabelboxTextEntity Ner Classification
In the Clinical Text Classification Project, I categorized clinical notes and identified key medical entities. Structured data was prepared for AI models by tagging symptoms, diagnoses, and treatment terms. I ensured high-quality annotation to build reliable clinical text datasets. • Applied standard entity recognition guidelines consistently. • Prepared structured datasets from unstructured clinical notes. • Collaborated with AI teams to clarify annotation schemas. • Used Labelbox for text and entity tagging.

In the Clinical Text Classification Project, I categorized clinical notes and identified key medical entities. Structured data was prepared for AI models by tagging symptoms, diagnoses, and treatment terms. I ensured high-quality annotation to build reliable clinical text datasets. • Applied standard entity recognition guidelines consistently. • Prepared structured datasets from unstructured clinical notes. • Collaborated with AI teams to clarify annotation schemas. • Used Labelbox for text and entity tagging.

2023 - Present
CVAT

Medical Image Annotation Project

CVATObject Detection
On the Medical Image Annotation Project, I annotated X-ray and CT scan datasets for disease pattern recognition. I applied labeling standards to enable AI-based object detection in radiology. My work supported the development of diagnostic models through precise image annotation. • Followed consistent disease annotation protocols. • Ensured high-quality, accurate dataset preparation. • Utilized CVAT for bounding box and segmentation work. • Focused on medical diagnostic applications.

On the Medical Image Annotation Project, I annotated X-ray and CT scan datasets for disease pattern recognition. I applied labeling standards to enable AI-based object detection in radiology. My work supported the development of diagnostic models through precise image annotation. • Followed consistent disease annotation protocols. • Ensured high-quality, accurate dataset preparation. • Utilized CVAT for bounding box and segmentation work. • Focused on medical diagnostic applications.

2023 - Present
Labelbox

AI Data Annotator (Medical Projects)

LabelboxBounding Box
As an AI Data Annotator for medical projects, I labeled and validated medical datasets to train AI models. I annotated radiology images such as X-ray and CT scans using bounding box and segmentation techniques. Clinical text was classified and entities were tagged to enrich machine learning workflows. • Ensured accuracy and guideline consistency in dataset reviews. • Conducted entity tagging and classification on clinical text data. • Collaborated with AI teams to improve model performance. • Used Labelbox and CVAT for annotation tasks.

As an AI Data Annotator for medical projects, I labeled and validated medical datasets to train AI models. I annotated radiology images such as X-ray and CT scans using bounding box and segmentation techniques. Clinical text was classified and entities were tagged to enrich machine learning workflows. • Ensured accuracy and guideline consistency in dataset reviews. • Conducted entity tagging and classification on clinical text data. • Collaborated with AI teams to improve model performance. • Used Labelbox and CVAT for annotation tasks.

2023 - Present

Education

U

University of Texas at Austin

Master of Science, Artificial Intelligence in Healthcare

Master of Science
2024 - 2025
U

University of California, Irvine

Bachelor of Science, Health Data Science

Bachelor of Science
2020 - 2024

Work History

N

NHS

Nurse

Coventry
2025 - Present