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Joy Shanita Russell

Joy Shanita Russell

Exceptional Children's Teacher - Special Education

USA flag
Las Vegas, Usa
$20.00/hrExpertLabelbox

Key Skills

Software

LabelboxLabelbox

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code ProgrammingComputer Code Programming

Top Label Types

Object Detection

Freelancer Overview

With over 17 years of experience in education, I have developed a keen eye for detail, accuracy, and consistency—skills that are essential for high-quality data labeling and annotation. My work as an Exceptional Children’s Teacher required me to analyze student data, adapt instructional materials, and meticulously document progress, all while collaborating with multidisciplinary teams. I am highly skilled at following complex guidelines, maintaining thorough records, and ensuring compliance with strict standards, which translates well to tasks like annotating text, images, or audio for AI training datasets. My experience with assistive technology and progress monitoring tools has given me a strong foundation in using digital platforms and adapting to new software quickly. I am passionate about contributing to projects that rely on precise and reliable data to drive machine learning and AI solutions.

ExpertEnglish

Labeling Experience

Labelbox

Senior Data Annotator & Quality Assurance Specialist

LabelboxComputer Code ProgrammingObject Detection
I led a team of 5 annotators to complete a high-stakes medical imaging project. We performed semantic segmentation on 10,000 surgical video frames, labeling 15 distinct classes including tissues and instruments. Using CVAT and Supervisely, we overcame challenges like occlusions and variable lighting, maintaining a 98% inter-annotator agreement through rigorous QA. The final dataset contributed to a 15% improvement in a real-time surgical AI model

I led a team of 5 annotators to complete a high-stakes medical imaging project. We performed semantic segmentation on 10,000 surgical video frames, labeling 15 distinct classes including tissues and instruments. Using CVAT and Supervisely, we overcame challenges like occlusions and variable lighting, maintaining a 98% inter-annotator agreement through rigorous QA. The final dataset contributed to a 15% improvement in a real-time surgical AI model

2025 - 2025

Education

L

Long Island University

Master of Arts, Education

Master of Arts
2008 - 2008
C

City University of New York

Bachelor of Arts, Elementary Education

Bachelor of Arts
2005 - 2005

Work History

C

Clark County School District

Exceptional Children’s Teacher

Las Vegas
2020 - Present
H

Houston Independent School District

Special Education Teacher

Houston
2016 - 2020