AI Imaging Specialist - Radiology

The role

You will decide the correct answers for medical imaging cases and build studies to test AI agents. The work involves reviewing how agents handle MRI, CT, ultrasound, and radiography across organ systems.

What you will do

• Write questions frequently asked by radiologists or during medical image interpretation
• Decide the optimal answer format for the agent
• Decide what counts as a pass given the objective
• Review agent actions and their approach
• Help pick what is needed by the agent to solve the objective

Required qualifications

• Can work with medical images professionally and have handled thousands of studies
• Radiologist, including trained outside the US (board-certified or equivalent)
• Radiology resident or fellow
• Sonographer (ARDMS or equivalent)
• MRI or CT technologist (ARRT or equivalent)
• Deep experience in at least one modality (MRI, CT, ultrasound or radiography) and working familiarity with the others
• Know normal anatomy and common pathology for your area
• Can tell when the image itself is wrong: artifact, positioning, parameters
• Comfortable enough to work with python on interpretation and run scripts
• AI-ready, daily use of popular agents like Claude Code

Nice to have

• imaging AI challenge experience ( e.g. RSNA, MICCAI, …)
• contributions e.g. to Radiopaedia
• familiarity with public imaging archives (TCIA, MIMIC-CXR, UK Biobank, OpenNeuro)

Benefits

• Health, dental, vision: 100% covered for you, 50% for dependents
• 401(k) (no match)
• PTO: 12 days to start, more as you’re promoted
• catered lunch and dinner and unlimited snacks (onsite SF)
• company outings most months, team off-sites, and a community

Before you apply

• If your profile matches, we’ll send you a take-home project
• Background check, once you accept
• We sponsor H-1B (new and transfers), O-1, and TN, and support STEM OPT

About the company

Latch builds rigorous scientific benchmarks for AI agents across biology. They work with frontier labs and pharma to measure whether agents can handle real biological workflows.