Project Slice | Remote CT Annotation & Report Generation | Medical Students & Recent Graduates (US)

OneForma is looking for current medical students (clinical years) and recent medical school graduates in the United States to join an exciting remote AI research project focused on chest CT annotation and report generation.

Participants will review chest CT scans alongside a brief clinical indication and create detailed, structured medical imaging annotations. The work involves identifying anatomical structures, documenting both positive and negative imaging findings, and producing comprehensive annotations that accurately capture clinically relevant observations.

This is a flexible, part-time remote opportunity for candidates with radiology training and experience interpreting chest CT images who are interested in contributing to the advancement of AI-powered healthcare technologies.

Purpose:

The purpose of this project is to develop a high-quality dataset of structured medical imaging annotations to support research and advancements in healthcare technologies, including AI-assisted CT report generation.

Main Requirements:

• Must be a current medical student in the clinical years or a recent medical school graduate.
• Must have completed coursework, clerkships, or formal training involving radiology and CT image interpretation.
• Must be familiar with chest CT anatomy and common thoracic imaging findings.
• Must be able to read and understand radiology reports.
• Must have excellent attention to detail and be able to follow structured annotation guidelines.
• Must have strong written English skills.
• Must be located in the United States.
• Remote, part-time commitment of approximately 20–29 hours per week .

Other Important Information:

• This is a fully remote project.
• Participants will review chest CT scans (axial soft-tissue reconstructions) together with a brief clinical indication.
• No additional imaging studies or clinical history will be provided beyond the indication text and basic patient demographics.
• Experience with medical image annotation or structured clinical documentation is a plus, but candidates meeting the required qualifications are encouraged to apply.

Help advance the future of AI-powered medical imaging by contributing your clinical knowledge to the development of high-quality healthcare datasets.