Joseph Chege

Key Skills

Software

CVAT

Labelbox

Snorkel AI

Top Subject Matter

Computer Vision and Natural Language Processing

Academic AI Exercises and Statistics

Academic/Collaborative Data Annotation

Top Data Types

Image

Video

Audio

Top Task Types

Bounding Box

Classification

Freelancer Overview

Data Annotation Specialist – AI Training Projects. Core strengths include CVAT and Excel. Education includes Bachelor of Economics and Statistics, Kirinyaga University (2026). AI-training focus includes data types such as Image and labeling workflows including Bounding Box and Classification.

Labeling Experience

Group Data Annotation Exercise

DocumentText Generation

During a group annotation exercise, I collaborated with peers to annotate and verify image datasets, ensuring accuracy through peer review and corrections. I presented and explained the workflow, focusing on data structuring and clarity. This experience enhanced my teamwork and dataset presentation skills. • Engaged in collaborative annotation with consistent dataset reviews. • Addressed errors by checking for and correcting inconsistencies. • Structured data for clarity, making sets ready for analysis. • Explained annotation protocols in group settings.

During a group annotation exercise, I collaborated with peers to annotate and verify image datasets, ensuring accuracy through peer review and corrections. I presented and explained the workflow, focusing on data structuring and clarity. This experience enhanced my teamwork and dataset presentation skills. • Engaged in collaborative annotation with consistent dataset reviews. • Addressed errors by checking for and correcting inconsistencies. • Structured data for clarity, making sets ready for analysis. • Explained annotation protocols in group settings.

2025 - Present

Academic Data Annotation Project

VideoObject Detection

In an academic data annotation project, I labeled and prepared datasets for AI exercises and statistical analysis, focusing on precision and consistency. I followed established standards, documenting processes for future analysis. The datasets supported coursework in regression, probability, and data analysis. • Ensured high-quality, consistent data annotation for academic use. • Documented labeling procedures to support repeatable workflows. • Organized diverse datasets for ease of access and further study. • Managed labeling with attention to accuracy and project requirements.

In an academic data annotation project, I labeled and prepared datasets for AI exercises and statistical analysis, focusing on precision and consistency. I followed established standards, documenting processes for future analysis. The datasets supported coursework in regression, probability, and data analysis. • Ensured high-quality, consistent data annotation for academic use. • Documented labeling procedures to support repeatable workflows. • Organized diverse datasets for ease of access and further study. • Managed labeling with attention to accuracy and project requirements.

2025 - Present

Data Annotation Specialist – AI Training Projects

CVATMedical DicomBounding Box

As a Data Annotation Specialist, I annotated images, videos, and text for AI model training using project-specific instructions. I applied bounding boxes, segmentation, and classification labels, performing comprehensive quality assurance checks to deliver accurate results. My efforts contributed directly to computer vision and natural language processing datasets utilized by AI models. • Consistently maintained high data quality and annotation accuracy. • Utilized CVAT and Labelbox extensively for annotation and review. • Collaborated with reviewers to meet stringent deadlines and standards. • Addressed annotation corrections and refined labeling procedures as needed.

As a Data Annotation Specialist, I annotated images, videos, and text for AI model training using project-specific instructions. I applied bounding boxes, segmentation, and classification labels, performing comprehensive quality assurance checks to deliver accurate results. My efforts contributed directly to computer vision and natural language processing datasets utilized by AI models. • Consistently maintained high data quality and annotation accuracy. • Utilized CVAT and Labelbox extensively for annotation and review. • Collaborated with reviewers to meet stringent deadlines and standards. • Addressed annotation corrections and refined labeling procedures as needed.

2024 - Present

Education

Work History