Juma Erick

Medical Subject Matter Expert (SME) & AI Data Trainer with a specialized background in Clinical Medicine and technical experience in high-level data annotation. Expert in Reinforcement Learning from Human Feedback (RLHF), search quality evaluation, and medical fact-checking for Large Language Models (LLMs). Highly proficient in executing complex tasks requiring clinical logic, HTML/CSS technical literacy, and strict guideline adherence.

Equipped with high-speed fiber internet and a dedicated home office setup for 24/7 project reliability.

AI Data Analyst / Rater at Telus International (2025-01 – Present)

• Evaluated AI-generated content for accuracy, relevance, and safety for global search engine clients.
• Identified and flagged medical misinformation and hallucinations within model responses.
• Consistently achieved high quality score ratings by adhering to complex, evolving project guidelines.

Independent Researcher & Data Contributor at Prolific (2024-01 – Present)

• Executed precision-based data collection for academic and corporate AI research studies.
• Maintained a 100% approval rate by passing rigorous attention checks and logic assessments.
• Provided qualitative feedback on AI model coherence and linguistic accuracy.

Medical Professional (2024)

• Applied clinical expertise to diagnose and manage patient health in a professional healthcare setting.
• Maintained detailed medical records and structured clinical data for patient history management.
• Developed deep knowledge of medical terminology and pharmacological classifications.

Bachelor of Science in Clinical Medicine – University of kabianga