Godson Ezeude

Key Skills

Software

Labelbox

Top Subject Matter

No subject matter listed

Top Data Types

Text

Top Label Types

Entity Ner Classification

RLHF

Evaluation Rating

Prompt Response Writing SFT

Freelancer Overview

I am a detail-oriented Computer Science and Engineering student specializing in cybersecurity, with hands-on experience in data-driven projects and automation. My background includes developing machine learning classification systems, where I managed the full data lifecycle ,cleaning, feature engineering, model training, and evaluation,using tools like Pandas, Scikit-learn, and TensorFlow/Keras. I have also built real-time data scraping and parsing tools in Python, demonstrating my ability to handle and preprocess large datasets for actionable insights. With a strong foundation in secure coding, analytical problem solving, and technical documentation, I am eager to contribute to data labeling, annotation, and AI training data roles, leveraging my skills in Python, attention to detail, and collaborative mindset to ensure high-quality, accurate datasets for AI applications.

Labeling Experience

LLM Training Data Annotation & Quality Review

LabelboxTextEntity Ner ClassificationRLHF

Performed high-quality text annotation and evaluation to support large language model (LLM) training and fine-tuning workflows. Responsibilities included Named Entity Recognition (NER), text classification, prompt-response evaluation, and reinforcement learning from human feedback (RLHF) rating tasks. Annotated and reviewed diverse datasets including technical, cybersecurity, and general-domain content. Maintained strict quality standards through guideline adherence, cross-check validation, and consistency reviews. Utilized Labelbox and custom Python scripts to streamline annotation workflows and improve efficiency. Contributed to dataset accuracy improvements by identifying edge cases, ambiguous samples, and labeling inconsistencies.

Performed high-quality text annotation and evaluation to support large language model (LLM) training and fine-tuning workflows. Responsibilities included Named Entity Recognition (NER), text classification, prompt-response evaluation, and reinforcement learning from human feedback (RLHF) rating tasks. Annotated and reviewed diverse datasets including technical, cybersecurity, and general-domain content. Maintained strict quality standards through guideline adherence, cross-check validation, and consistency reviews. Utilized Labelbox and custom Python scripts to streamline annotation workflows and improve efficiency. Contributed to dataset accuracy improvements by identifying edge cases, ambiguous samples, and labeling inconsistencies.

2024 - 2025

Education

Work History