Jude Oyedele

Key Skills

Software

OneForma

Mercor

Mindrift

Tagtog

Top Subject Matter

AI code quality

Rlhf Domain Expertise

prompt engineering

Top Data Types

Document

Computer Code Programming

Text

Top Task Types

Bounding Box

Classification

Question Answering

RLHF

Freelancer Overview

AI Training & Evaluation Engineer (Freelance). Brings 2+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Mercor, Internal, and Proprietary Tooling. AI-training focus includes data types such as Computer Code, Programming, and Text and labeling workflows including RLHF, Evaluation, and Rating.

Labeling Experience

Agentic AI Lead — AI Engineering, Automation & Backend Systems

Text

I designed and deployed agentic AI workflows that include benchmarking and evaluating LLM outputs as part of AI research. I validated prompt quality and assessed the accuracy of model responses for clients. I built RAG pipelines combining document processing and vector search for intelligent AI responses. • Conducted LLM benchmarking and structured report writing • Validated and refined prompts to improve model accuracy • Implemented OCR and text analytics for pipeline automation • Utilized n8n, Qdrant, and Supabase for workflow orchestration

I designed and deployed agentic AI workflows that include benchmarking and evaluating LLM outputs as part of AI research. I validated prompt quality and assessed the accuracy of model responses for clients. I built RAG pipelines combining document processing and vector search for intelligent AI responses. • Conducted LLM benchmarking and structured report writing • Validated and refined prompts to improve model accuracy • Implemented OCR and text analytics for pipeline automation • Utilized n8n, Qdrant, and Supabase for workflow orchestration

2025 - Present

AI Training & Evaluation Engineer (Freelance)

MercorRLHF

I reviewed and evaluated AI-generated code in Python, JavaScript, and TypeScript for LLM training datasets. I provided structured RLHF-style feedback, ranked responses, and identified errors to improve model quality. I engineered and refined prompts to enhance LLM output specificity and accuracy. • Validated algorithmic solutions for correctness, complexity, and best practices • Tagged content for model fine-tuning and benchmarking • Authored structured improvement reports on LLM performance • Worked with Outlier.ai, Mercor, and independent AI research contracts

I reviewed and evaluated AI-generated code in Python, JavaScript, and TypeScript for LLM training datasets. I provided structured RLHF-style feedback, ranked responses, and identified errors to improve model quality. I engineered and refined prompts to enhance LLM output specificity and accuracy. • Validated algorithmic solutions for correctness, complexity, and best practices • Tagged content for model fine-tuning and benchmarking • Authored structured improvement reports on LLM performance • Worked with Outlier.ai, Mercor, and independent AI research contracts

2024 - Present

Education

Work History