Adetola O.

Key Skills

Software

iMerit

Micro1

Mercor

Top Subject Matter

Energy distribution systems

power station monitoring

technical reporting

Top Data Types

Image

Audio

Video

Top Task Types

Object Detection

Data Collection

Text Generation

Freelancer Overview

As a software developer and technical writer with deep expertise in structured prompt engineering, I bring a unique blend of technical precision and linguistic clarity to AI training data and data labeling. My experience centers on designing, executing, and refining high-quality datasets for training large language models (LLMs). Having authored an technical ebook on leveraging AI for modern workflows, I have spent significant time evaluating model outputs, mitigating algorithmic bias, and conducting rigorous human-in-the-loop reasoning and role-simulation exercises. This background allows me to approach labeling not just as a repetitive task, but as a systematic process requiring strict adherence to edge-case logic and nuanced categorization. What sets me apart is my ability to bridge the gap between technical implementation and linguistic nuance. I am highly proficient in writing clear, structured documentation, and I leverage my core programming background in Go and Python to quickly understand complex technical domains—from physics concepts to modular engineering profiles. Whether performing semantic labeling, reinforcement learning from human feedback (RLHF), or adversarial prompt testing, I ensure that the training data is accurate, contextually aware, and optimized for high-performance machine learning models.

Labeling Experience

Intern, University of Lagos Power Station (Data quality/QA-oriented monitoring logs)

Document

Assisted with quality assurance activities by monitoring energy distribution performance using system monitoring logs. Helped maintain accuracy of recorded observations for technical health reporting and documentation. Supported systematic review of anomalies to ensure data integrity for downstream analysis and reporting. • Monitored energy distribution systems and verified accuracy in monitoring logs • Documented system anomalies with quality-focused technical health reports • Ensured monitoring records met data accuracy expectations • Contributed to reliable documentation for technical reporting

2024 - 2024

Education

Work History