Ruth Karanja

Key Skills

Software

Labelbox

Top Subject Matter

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Top Data Types

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Freelancer Overview

I am a detail-oriented data annotator with extensive hands-on experience preparing high-quality datasets for AI training across various platforms. My expertise spans image classification, bounding box labeling, semantic segmentation, video review, and text categorization, supporting projects in computer vision and NLP domains. I am skilled in using industry-standard tools such as Labelbox, Scale AI, and Appen, and have successfully labeled and quality-checked thousands of data points, consistently achieving high accuracy rates. I am passionate about prompt engineering for LLM workflows, workflow optimization, and ensuring data integrity. My strong communication, research, and remote collaboration skills enable me to consistently deliver reliable results and contribute to the development of ethical, effective AI systems.

Labeling Experience

Freelance Data Annotator

LabelboxImageBounding Box

As a freelance data annotator, I prepared diverse datasets for AI training projects across freelancing platforms. My work involved detailed image classification and bounding box annotation for computer vision tasks and prompt engineering to support LLM workflows. I achieved a 98% accuracy rate while collaborating with distributed teams on tight deadlines. • Annotated over 5,000 images using bounding box and semantic segmentation techniques • Reviewed and categorized 1,000+ video clips for activity recognition and sentiment analysis • Applied dense and coarse labeling based on project scope • Utilized tools like Labelbox, Scale AI, and Appen to execute and quality-check annotations.

As a freelance data annotator, I prepared diverse datasets for AI training projects across freelancing platforms. My work involved detailed image classification and bounding box annotation for computer vision tasks and prompt engineering to support LLM workflows. I achieved a 98% accuracy rate while collaborating with distributed teams on tight deadlines. • Annotated over 5,000 images using bounding box and semantic segmentation techniques • Reviewed and categorized 1,000+ video clips for activity recognition and sentiment analysis • Applied dense and coarse labeling based on project scope • Utilized tools like Labelbox, Scale AI, and Appen to execute and quality-check annotations.

2024 - 2025

Education

Work History