Theophilus Aigbogun

Key Skills

Software

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Document

Geospatial Tiled Imagery

Image

Text

Video

Top Label Types

Audio Recording

Data Collection

Emotion Recognition

Evaluation Rating

Fine Tuning

Prompt Response Writing SFT

Question Answering

Text Generation

Text Summarization

Transcription

Freelancer Overview

I have extensive experience in conducting detailed data reviews, quality assurance, and risk analysis within highly regulated environments, including digital banking and consulting. My work has involved independently assessing and validating customer data, analyzing complex ownership structures, and ensuring data consistency and accuracy for regulatory compliance. I am skilled in using tools such as Onfido, Hunter, Equifax, Experian, and World-Check to verify and annotate data, identify inconsistencies, and escalate issues when automated outputs do not align with observed data patterns. My strong attention to detail, documentation standards, and ability to produce audit-ready rationales make me well-suited for roles involving data labeling, annotation, and the preparation of high-quality AI training datasets, particularly in domains where regulatory and data integrity are critical.

Labeling Experience

AI Prompt Evaluator (Freelance) — Outlier AI

Scale AITextEvaluation Rating

As an AI Prompt Evaluator with Outlier AI, I designed and tested structured prompts for evaluating large language models across creative, legal, and analytical subjects. I scored AI model outputs to assess coherence, factual grounding, and instruction adherence, ensuring unbiased and contextually accurate responses. My work involved applying analytical and domain-specific reasoning to optimize and refine AI-generated content for quality and integrity. • Developed and executed benchmarking scenarios using advanced prompt strategies. • Detected and flagged ambiguous or biased AI outputs using legal and compliance insights. • Collaborated with cross-functional teams to iterate on annotation guidelines and feedback loops. • Used multiple LLM platforms and tracking tools to document evaluation outcomes.

As an AI Prompt Evaluator with Outlier AI, I designed and tested structured prompts for evaluating large language models across creative, legal, and analytical subjects. I scored AI model outputs to assess coherence, factual grounding, and instruction adherence, ensuring unbiased and contextually accurate responses. My work involved applying analytical and domain-specific reasoning to optimize and refine AI-generated content for quality and integrity. • Developed and executed benchmarking scenarios using advanced prompt strategies. • Detected and flagged ambiguous or biased AI outputs using legal and compliance insights. • Collaborated with cross-functional teams to iterate on annotation guidelines and feedback loops. • Used multiple LLM platforms and tracking tools to document evaluation outcomes.

2025

Education

Work History