Medical Doctors for AI Training (Portugal / Germany)

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

Role Overview

In this project, you will be working on projects to help fine-tune large language models (like ChatGPT) using your strong medical knowledge and diagnostic abilities in various fields of medicine.

As a medical specialist, you will bring your subject-matter knowledge to help train and evaluate frontier AI systems. Work might include:

• Design and solve advanced medical problems, ranging from diagnostic scenarios to complex clinical case reviews
• Review AI-generated answers, assessing their accuracy, depth of reasoning, and clarity
• Spot knowledge gaps and edge cases, and propose improvements to strengthen model performance
• Collaborate with AI researchers and fellow medical experts to shape training methods, evaluation strategies, and benchmarks
• Provide structured feedback and insights that guide the development of next-generation AI for medicine and science

Commitments Required: 20-30h/week with flexible schedule

The project will last ONE month.

The list of preferred Universities:

Germany:

• Ruprecht Karls University,
• Heidelberg Humboldt,
• University of Berlin,
• Free University of Munich
• University of Munich
• University of Hamburg
• Technical University of Munich

Portugal:

• Universidade do Porto
• Universidade de Lisboa
• Universidade de Coimbra
• Universidade Nova de Lisboa
• University of Minho

• Actively practicing clinical physician with a valid medical license and at least 3 years of post-qualification experience, preferably a graduate from a top medical university in Germany or Portugal
• Background in any of the following areas is preferred: Internal Medicine, Primary Care, Pediatrics, Surgery, Anesthesia, or Diagnostic Specialties
• Strong communication skills and ability to collaborate effectively with technical research teams