Simon Ndung'u

Key Skills

Software

Labelbox

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Text

Top Label Types

Audio Recording

Text Summarization

Freelancer Overview

Detail-oriented and analytically driven AI Training and Data Annotation Specialist with experience supporting machine learning and NLP model development across diverse domains. Skilled in text classification, entity recognition, prompt-response evaluation, content moderation, and computer vision annotation. Demonstrated ability to interpret complex guidelines, maintain high accuracy standards (95%+), and deliver consistent results in deadline-driven remote environments. Proficient in annotation tools such as Labelbox, CVAT, and SuperAnnotate, with strong capabilities in data validation using Excel and Google Sheets. Experienced in evaluating AI-generated outputs for relevance, bias, clarity, and factual accuracy to improve overall model performance. Recognized for strong critical thinking, attention to detail, data confidentiality awareness, and the ability to work independently with minimal supervision. Committed to continuous learning and contributing to the advancement of responsible and high-performing AI systems.

Labeling Experience

AI Model Training & Multi-Domain Data Annotation Projects

LabelboxAudioText SummarizationAudio Recording

I have contributed to AI model training projects focused on improving natural language processing (NLP) systems and computer vision models. My role involved annotating datasets according to strict project guidelines, performing quality assurance checks, validating AI-generated outputs, and ensuring data consistency. Projects required meeting accuracy thresholds above 95%, maintaining confidentiality, and collaborating with remote quality control teams. I worked under deadline-driven environments while maintaining high precision and attention to detail.

I have contributed to AI model training projects focused on improving natural language processing (NLP) systems and computer vision models. My role involved annotating datasets according to strict project guidelines, performing quality assurance checks, validating AI-generated outputs, and ensuring data consistency. Projects required meeting accuracy thresholds above 95%, maintaining confidentiality, and collaborating with remote quality control teams. I worked under deadline-driven environments while maintaining high precision and attention to detail.

2024 - 2025

Education

Work History