Frank K.

Key Skills

Software

Label Studio

CVAT

Top Subject Matter

AI Dataset Preparation and Annotation

Legal Services & Contract Review

Regulatory Compliance & Risk Analysis

Top Data Types

Image

Text

Document

Top Task Types

Classification

Freelancer Overview

Data Labeling and Research Professional. Core strengths include Label Studio and CVAT. Education includes a Bachelor of Science from Murang'a University of Technology. AI-training focus includes data types such as Image and labeling workflows, including Classification. I have worked on several data-related projects that involved organizing, preparing, and validating datasets for analysis and digital use. In my role as Head of the Research Development Branch at JAVI RSS, I led projects that required designing structured data collection tools, supervising field data collection, and preparing datasets for statistical analysis. This work involved reviewing collected data for accuracy, cleaning datasets, and organizing them into structured formats suitable for research and technology-driven analysis workflows. I have also worked on dataset organization and labeling tasks involving structured survey data and research datasets. My responsibilities included categorizing data, validating entries, ensuring consistency with predefined guidelines, and maintaining high data quality standards. Through these projects, I developed strong attention to detail and the ability to follow structured annotation instructions—skills that are directly applicable to AI data labeling tasks such as image tagging, text classification, and dataset annotation using tools like Label Studio and CVAT. My academic background in Mathematics and Computer Science with specialization in Probability and Statistics further strengthens my ability to understand data structures, maintain dataset integrity, and contribute to high-quality AI training datasets.

Labeling Experience

Data Labeling and Research Professional

Label StudioImageClassification

Prepared, labeled, and validated datasets for AI and machine learning workflows, ensuring data quality for model training. Followed detailed annotation guidelines and maintained high data accuracy while organizing structured datasets. Utilized annotation platforms to annotate images and text for AI training projects. • Ensured strict compliance with data labeling and annotation standards • Prepared structured datasets fit for AI workflows • Validated data consistency and quality • Used Label Studio and CVAT for annotation tasks

Present

Education