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Reward Enikuomehin

Reward Enikuomehin

Prompt Engineer & LLM Adversarial Tester

NIGERIA flag
Remote, Nigeria
$20.00/hrEntry Level

Key Skills

Software

No software listed

Top Subject Matter

Financial Data AI/LLM Evaluation
Customer Analytics
Behavioral Patterns

Top Data Types

TextText
DocumentDocument

Top Label Types

Red Teaming

Freelancer Overview

Prompt Engineer & LLM Adversarial Tester (NairaSmsPulse). Brings 3+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Science, Babcock University (2024). AI-training focus includes data types such as Text and labeling workflows including Red Teaming, Evaluation, and Rating.

Entry LevelEnglish

Labeling Experience

Prompt Engineer & LLM Adversarial Tester (NairaSmsPulse)

TextRed Teaming
I engineered complex prompt structures and conducted adversarial testing of Google Gemini to sanitize and evaluate unstructured financial text data. My work ensured the identification of model vulnerabilities and edge-case failures, improving the system's output integrity. This experience involved systematic documentation and reporting of ambiguous data actions for better categorization and model robustness. • Adversarial prompt engineering and red-teaming against LLMs. • Categorization and documentation of ambiguous edge cases where LLM failed. • Evaluation of sanitized model outputs for compliance and quality. • Improved data pipeline resilience during AI and connectivity failures.

I engineered complex prompt structures and conducted adversarial testing of Google Gemini to sanitize and evaluate unstructured financial text data. My work ensured the identification of model vulnerabilities and edge-case failures, improving the system's output integrity. This experience involved systematic documentation and reporting of ambiguous data actions for better categorization and model robustness. • Adversarial prompt engineering and red-teaming against LLMs. • Categorization and documentation of ambiguous edge cases where LLM failed. • Evaluation of sanitized model outputs for compliance and quality. • Improved data pipeline resilience during AI and connectivity failures.

2026 - Present

AI Model Evaluator (Customer Analytics & ML Project)

Text
I analyzed behavioral datasets and evaluated the performance of machine learning clustering models. This included ranking, segmenting, and identifying anomalies, tasks directly relevant to AI safety guardrails for language models. The process required careful observation and precise annotation to support LLM output qualification. • Dataset quality control and labeling of behavioral patterns. • Evaluation and ranking of clusters for safety and relevance. • Annotation of anomalous segments for machine learning retraining. • Direct application of findings to AI guardrails establishment.

I analyzed behavioral datasets and evaluated the performance of machine learning clustering models. This included ranking, segmenting, and identifying anomalies, tasks directly relevant to AI safety guardrails for language models. The process required careful observation and precise annotation to support LLM output qualification. • Dataset quality control and labeling of behavioral patterns. • Evaluation and ranking of clusters for safety and relevance. • Annotation of anomalous segments for machine learning retraining. • Direct application of findings to AI guardrails establishment.

2025 - 2025

Education

B

Babcock University

Bachelor of Science, Computer Science

Bachelor of Science
2020 - 2024

Work History

A

Afrab

Flutter Developer

Remote
2025 - 2025
M

Moni Africa

Software Engineering Intern

Remote
2023 - 2023