Joshua Mageto

Key Skills

Software

Labelbox

Top Subject Matter

No subject matter listed

Top Data Types

Text

Top Label Types

Classification

Freelancer Overview

I am a detail-oriented Computer Science graduate with hands-on experience in data annotation and AI training data preparation. My background includes labeling and categorizing datasets for machine learning models, collaborating with data scientists to preprocess and clean data using Python, and ensuring high data quality through validation and error-checking. I am proficient in Java, C++, and Python, and have used tools like Git, Jupyter Notebook, and Visual Studio Code to support data-driven projects. My freelance work has allowed me to develop custom scripts for data parsing and cleaning, directly contributing to the creation of reliable training datasets. I am passionate about leveraging my technical and analytical skills to support the development of innovative AI solutions.

Labeling Experience

Text classification and sentiment Annotation for customer Feedback Data

LabelboxTextClassification

This project involved annotating largescale customer feedback datasets to support the training of natural language processing models. The primary task was to classify text into predefined categories and assign sentiment labels (Positive, Neutral, Negative) based on tone, intent, and contextual meaning. Special attention was given to ambiguous language, sarcasm, and mixed sentiment cases. Quality control measures included multi-pass reviews, adherence to annotation guidelines, and consistency checks to ensure high inter-annotator agreement.

This project involved annotating largescale customer feedback datasets to support the training of natural language processing models. The primary task was to classify text into predefined categories and assign sentiment labels (Positive, Neutral, Negative) based on tone, intent, and contextual meaning. Special attention was given to ambiguous language, sarcasm, and mixed sentiment cases. Quality control measures included multi-pass reviews, adherence to annotation guidelines, and consistency checks to ensure high inter-annotator agreement.

2025 - 2025

Education

Work History