Seif Ahmed

A detail-oriented Medical Intern and Language Data Annotator leveraging a robust clinical background to enhance artificial intelligence systems. Specialized in medical domain data labeling, reinforcement learning from human feedback (RLHF), and high-quality prompt evaluation. Adept at refining large language models (LLMs) through precise linguistic annotation, clinical translation, and scientific data verification to ensure safe and accurate technical outputs.

Language Data Annotator / AI Trainer at Outlier AI (2025-09 – Present)

• Evaluated and optimized AI model responses through Reinforcement Learning from Human Feedback (RLHF).
• Performed Named Entity Recognition (NER) and syntactic data tagging on complex scientific texts.
• Verified accuracy and safety profiles of medical data outputs produced by generative AI frameworks.
• Translated technical medical terminology between English and Arabic with high contextual fidelity.
• Collaborated with cross-functional technical teams to isolate linguistic nuances and behavioral edge cases.

Bachelor of Medicine and Surgery in Medicine – Qena University, Faculty of Medicine (2019 – 2025)