John-Jaja Emmanuel O.

Key Skills

Software

No software listed

Top Subject Matter

Physics

Top Data Types

Image

Video

Text

Top Task Types

Object Detection

Bounding Box

Polygon

Text Generation

Data Collection

Evaluation/Rating

Freelancer Overview

With over two years of hands-on experience in data labeling and AI model training, I have contributed to RLHF pipelines on leading platforms including Outlier AI, Scale AI, and DataAnnotation. My work spans text classification, sentiment tagging, comparative response ranking, and quality assurance across 1,000+ evaluation tasks. I specialize in STEM domains — physics, mathematics, and scientific reasoning — which is one of the most in-demand and underserved niches in AI annotation. This background allows me to catch subtle reasoning errors, factual inaccuracies, and hallucinations that general annotators often miss. What sets me apart is the combination of a Physics degree (GPA 3.6, University of Washington) and practical annotation expertise. I am trained in rubric-based scoring, adversarial prompt crafting, instruction-following assessment, and red-teaming frontier language models. I consistently maintained top-tier quality scores on every platform I worked on, demonstrating both accuracy and reliability. My certifications in Prompt Engineering, Responsible AI, and Machine Learning further strengthen my ability to contribute meaningfully to any AI training data pipeline.

Labeling Experience

Ai trainer and evaluator

ImageText Generation

Project 1: LLM Response Evaluation & Ranking — Outlier AI Worked on a large-scale RLHF pipeline evaluating and ranking responses generated by frontier language models. Tasks involved rating outputs for accuracy, logical coherence, helpfulness, and instruction-following across 1,000+ evaluation tasks. Specialized in STEM-domain prompts covering physics, mathematics, and scientific reasoning — flagging hallucinations, factual errors, and subtle reasoning flaws using structured rubrics.

2025 - Present

Education

Work History