Oluwagbemileke Adebayo

Key Skills

Software

OneForma

Top Subject Matter

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Top Data Types

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Top Label Types

Entity Ner Classification

Evaluation Rating

Freelancer Overview

I am a detail-oriented AI data specialist with hands-on experience in data labeling, annotation, and quality control for large language model (LLM) training, particularly focusing on Nigerian English dialect datasets. My work with OneForma (Project Lighthouse) and Appen has equipped me with expertise in prompt engineering, RLHF, hallucination detection, and factual verification, ensuring high-quality, culturally nuanced datasets. I consistently maintain Gold Standard quality scores across diverse modules, including creative writing and summarization, and leverage tools like Gemini Advanced and Google Workspace to streamline workflows. My academic background in Health Education and certifications in prompt engineering and project management further strengthen my ability to handle sensitive content, conduct thorough research, and uphold strict data integrity standards throughout the AI training process.

Labeling Experience

Search Relevance Evaluator (Project Lighthouse)

OneformaTextEvaluation Rating

Conducted "Gold Standard" evaluations for search engine results. tasks involved verifying factual accuracy, checking user intent, and ranking responses based on helpfulness and honesty. Refined prompts to test AI logic and information retrieval capabilities.

Conducted "Gold Standard" evaluations for search engine results. tasks involved verifying factual accuracy, checking user intent, and ranking responses based on helpfulness and honesty. Refined prompts to test AI logic and information retrieval capabilities.

2025

Native Dialect Specialist (Nigerian English en-NG)

OneformaTextEntity Ner Classification

Served as a Native Language Specialist for Project Benjamin, focusing on high-fidelity annotation of Nigerian English (en-NG). Dialect Accuracy: Evaluated datasets for accurate Pidgin usage, cultural metaphors, and local context to prevent model hallucinations. Task Complexity: Performed Intent Recognition and Sentiment Analysis on conversational data to improve AI fluency in West African regions. Quality: Maintained a 98%+ accuracy rate, strictly adhering to complex linguistic guidelines for Large Language Model (LLM) training.

Served as a Native Language Specialist for Project Benjamin, focusing on high-fidelity annotation of Nigerian English (en-NG). Dialect Accuracy: Evaluated datasets for accurate Pidgin usage, cultural metaphors, and local context to prevent model hallucinations. Task Complexity: Performed Intent Recognition and Sentiment Analysis on conversational data to improve AI fluency in West African regions. Quality: Maintained a 98%+ accuracy rate, strictly adhering to complex linguistic guidelines for Large Language Model (LLM) training.

2025

Education

Work History