Ian Ngetich

Key Skills

Software

OneForma

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Top Label Types

Computer Programming Coding

Transcription

Freelancer Overview

I am a detail-oriented computer science graduate with hands-on experience in data annotation, labeling, and AI model evaluation. My background includes assessing AI-generated outputs for accuracy, coherence, and bias, as well as creating high-quality prompts to test and improve model performance. I am skilled in Python, SQL, and various data analysis tools, and have worked on projects such as designing AI prompt testing frameworks and building supervised learning datasets. I am comfortable with NLP fundamentals, structured evaluation rubrics, and quality assurance processes to ensure reliable and robust AI systems. My analytical mindset and strong communication skills help me deliver precise feedback and contribute to the continuous improvement of AI training data.

Labeling Experience

Data annotation

OneformaComputer Code ProgrammingComputer Programming CodingTranscription

Data Labeling & Annotation Experience Data Annotation Specialist (Freelance / Remote) 2023 – Present Annotated large datasets for Natural Language Processing (NLP) and machine learning models. Labeled text data for intent classification, sentiment analysis, and entity recognition tasks. Categorized and structured raw datasets to improve supervised learning accuracy. Reviewed and corrected model outputs to reduce hallucinations and inconsistencies. Applied detailed annotation guidelines to ensure high inter-annotator agreement. Flagged ambiguous or biased data points to improve dataset quality. Conducted quality assurance (QA) checks on labeled data before submission. Collaborated with AI teams to refine annotation standards and improve model performance. Worked with structured formats such as JSON and CSV for dataset preparation. If you want something more advanced and technical (since you have a CS background), here’s a stronger version: AI Data Labeling & Model Evaluation

Data Labeling & Annotation Experience Data Annotation Specialist (Freelance / Remote) 2023 – Present Annotated large datasets for Natural Language Processing (NLP) and machine learning models. Labeled text data for intent classification, sentiment analysis, and entity recognition tasks. Categorized and structured raw datasets to improve supervised learning accuracy. Reviewed and corrected model outputs to reduce hallucinations and inconsistencies. Applied detailed annotation guidelines to ensure high inter-annotator agreement. Flagged ambiguous or biased data points to improve dataset quality. Conducted quality assurance (QA) checks on labeled data before submission. Collaborated with AI teams to refine annotation standards and improve model performance. Worked with structured formats such as JSON and CSV for dataset preparation. If you want something more advanced and technical (since you have a CS background), here’s a stronger version: AI Data Labeling & Model Evaluation

2023 - 2025

Education

Work History