Mohamed H.

Key Skills

Software

No software listed

Top Subject Matter

Medicine/Clinical Reasoning

Legal Services & Contract Review

Regulatory Compliance & Risk Analysis

Top Data Types

Document

Text

Top Task Types

No task types listed

Freelancer Overview

Medical doctor (MD) currently contributing as a medical domain expert on AI training projects for Outlier.ai (Project Valkyrie V6) and Vetto.ai. Experienced in creating expert-level clinical prompts, developing evaluation rubrics, and rating AI-generated medical content for diagnostic accuracy, clinical soundness, and evidence-based reasoning. My background spans internal medicine, occupational health, and social security medicine (INSS), which allows me to evaluate AI outputs across a broad range of clinical scenarios with high precision. I bring real-world hospital experience to every task, ensuring that AI models are trained on grounded, nuanced medical judgment rather than textbook-only reasoning.

Labeling Experience

Medical Expert — Frontier AI Data & Evaluation

TextRLHF

Worked as a medical domain expert on Vetto.ai, a Brazilian platform connecting specialists with frontier AI labs. Contributed to data curation, model evaluation, and AI safety tasks requiring clinical expertise. Responsibilities included evaluating and rating AI-generated medical content for accuracy, safety, and clinical relevance, as well as creating supervised fine-tuning (SFT) training examples based on real-world clinical scenarios from hospital practice. Applied expertise in internal medicine and occupational health to provide high-signal training data for frontier AI models.

2026 - Present

Medical Expert — AI Training (Prompt & Rubric Creation)

TextPrompt + Response Writing (SFT)

Contributed as a medical domain expert on Outlier.ai's Project Valkyrie V6. Tasks included creating complex, expert-level clinical prompts grounded in real-world medical scenarios, developing detailed evaluation rubrics to assess AI-generated responses for diagnostic accuracy and clinical soundness, and rating model outputs using first-principles medical reasoning. Scope covered internal medicine and clinical decision-making. Maintained adherence to project quality guidelines with focus on naturalness, depth of reasoning, and evidence-based evaluation standards.

2026 - Present

Education

Work History