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godfrey jonathanGJ
Open to opportunities

godfrey jonathan

@godfreyjonathan

I evaluate LLM outputs and protect Web3 communities from misinformation and abuse.

Nigeria
Message

What I'm looking for

I'm looking to apply AI evaluation, annotation, and Web3 trust and safety experience to high-quality LLM training, moderation, and policy-enforcement work.

I've reviewed and ranked 15,000+ AI-generated responses for Outlier AI, Data Annotation, and Remotasks, assessing reasoning, accuracy, tone, instruction adherence, and policy compliance across RLHF workflows.

I bring deep Web3 and crypto context to LLM evaluation, flagging hallucinations, misinformation, unsafe outputs, jailbreak attempts, and factual errors in blockchain and DeFi content. I also create structured prompt-response datasets for fine-tuning and apply annotation rubrics consistently at high volume.

Across Web3 communities on Discord, Telegram, and X, I've managed 500+ daily interactions, moderated live AMAs, detected phishing and scam activity, and built onboarding and knowledge resources that improve member support and retention.

Experience

Work history, roles, and key accomplishments

OU
Current

AI Content Evaluator & RLHF Trainer

OutlierAI

Jan 2025 - Present (1 year 7 months)

Reviewed and ranked 15,000+ AI-generated responses across RLHF workflows, evaluating reasoning quality, accuracy, tone, instruction adherence, and policy compliance. Specialized in crypto and Web3 prompt evaluation, flagging factual errors and hallucinations.

WT

Content Writer & Research Analyst

Web3 & AI Tech

Jan 2023 - Dec 2023 (11 months)

Wrote educational articles and technical explainers on blockchain, DeFi, NFTs, and AI, ensuring accuracy and editorial standards. Developed content review frameworks and conducted structured fact-checking and technical research.

Education

Degrees, certifications, and relevant coursework

AU

Abubakar Tafawa Balewa University

Bachelor of Science, Computer Science

Pursuing a B.Sc. in Computer Science, reinforcing technical foundations in ML and data systems.

Tech stack

Software and tools used professionally

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