Joshua Galadima

Key Skills

Software

Label Studio

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Image

Text

Video

Top Label Types

Action Recognition

Bounding Box

Computer Programming Coding

Tracking

Freelancer Overview

I have a strong foundation in computer engineering and hands-on experience working with AI-based tools, video analytics, and automation to produce and analyze content. My background includes translating AI outputs into actionable insights, conducting strategic research on emerging technologies, and supporting the development of frameworks for risk assessment and compliance skills directly relevant to high-quality data labeling and annotation. I am adept at understanding large-scale computation concepts and applying technical, analytical, and communication skills to bridge the gap between data, technology, and strategic objectives. My experience spans both freelance AI projects and government research, enabling me to deliver precise, reliable training data for AI applications in areas like computer vision and policy analysis.

Labeling Experience

Data Annotation Specialist

Label StudioVideoBounding BoxPolygon

Annotated video datasets used for training computer vision models, with a strong focus on real-world motion and behavior. I labeled objects frame-by-frame using bounding boxes and polygons, tracked them across scenes, and tagged specific actions to capture how objects and people move and interact over time. Worked in Label Studio, paying close attention to consistency, occlusion, and edge cases that could confuse models. Each clip was reviewed for accuracy and temporal alignment to ensure the data was clean, reliable, and ready for LLM-assisted vision tasks.

Annotated video datasets used for training computer vision models, with a strong focus on real-world motion and behavior. I labeled objects frame-by-frame using bounding boxes and polygons, tracked them across scenes, and tagged specific actions to capture how objects and people move and interact over time. Worked in Label Studio, paying close attention to consistency, occlusion, and edge cases that could confuse models. Each clip was reviewed for accuracy and temporal alignment to ensure the data was clean, reliable, and ready for LLM-assisted vision tasks.

2025 - 2025

Education

Work History