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Ugochukwu N.

Ugochukwu N.

Detail-Oriented Data Labeler for AI Training

Canada flagLondon, Canada

Key Skills

Software

Other
Internal/Proprietary Tooling
RemotasksRemotasks
Scale AIScale AI

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code ProgrammingComputer Code Programming
ImageImage
TextText

Top Task Types

Computer Programming/CodingComputer Programming/Coding
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
Question AnsweringQuestion Answering
Text GenerationText Generation

Freelancer Overview

As a Chemistry expert with direct experience in AI training, I specialize in evaluating, refining, and generating scientific content for Large Language Models. At Baze University, I evaluated and ranked AI-generated chemistry responses for accuracy, logical reasoning, and clarity, while also developing over 350 high-quality Q&A datasets used to fine-tune AI systems. My work directly improved the factual reliability of AI outputs in specialized domains. I bring a unique combination of advanced subject-matter expertise in organic, inorganic, and physical chemistry, alongside technical skills in Python, JavaScript, and data validation. This allows me to not only assess AI performance in scientific contexts but also contribute to code-related AI training tasks. My background ensures I can handle complex, technical data labeling projects that require both domain knowledge and analytical precision.

Labeling Experience

Scale AI

Scientific Data Analysis for Materials Chemistry Research

Scale AIScale AIComputer Code ProgrammingComputer Code ProgrammingComputer Programming/CodingComputer Programming/Coding

Conducted research involving the analysis and validation of complex datasets in organic synthesis and materials science. Used computational tools and statistical methods to clean, label, and verify experimental data. Wrote and validated Python and MATLAB scripts to automate data processing and ensure dataset quality for research publications and AI training applications.

2025

Chemistry AI Response Evaluation and Dataset Curation

Internal/Proprietary ToolingTextTextQuestion AnsweringQuestion AnsweringText GenerationText Generation

Led a project to evaluate and improve the performance of a large language model in the domain of chemistry. Responsibilities included designing complex chemistry prompts, evaluating AI-generated responses for factual accuracy and logical reasoning, and ranking responses based on quality and clarity. Authored and curated a dataset of over 350 high-quality question-answer pairs, which was used to fine-tune the model and resulted in a measurable improvement in its scientific reliability.

2018 - 2019

Education

C

Covenant University

Master of Science, Chemistry

Master of Science
2020 - 2022
C

Covenant University

Bachelor of Engineering, Petroleum Engineering

Bachelor of Engineering
2015 - 2020

Work History

N

National Research Council Canada

Research Chemist

Ottawa
2025 - Present
V

Veritas University

Chemistry Lecturer

Abuja
2019 - 2024