Folio is hiring fellowship-trained radiologists for a fully remote contract project with one of the world’s leading AI labs. You will use your clinical expertise to help evaluate and improve advanced medical AI systems for real-world radiology use cases.
What You'll Do:
• Design and review challenging, real-world radiology cases that stress-test large language models, with emphasis on nuanced diagnostic reasoning.
• Create expert-level questions, answer keys, and rationales that reflect gold-standard clinical practice.
• Highlight edge cases, subtle differentials, and multimodal reasoning, particularly in MSK and neuroradiology.
• Provide structured feedback on where AI systems perform well and where they fail, helping research teams refine future models.
Role Requirements:
• MD or DO from an accredited medical school and completion of an ACGME-accredited Diagnostic Radiology residency.
• Completion of at least one radiology fellowship (any subspecialty); MSK radiology or Neuroradiology fellowship is especially valuable.
• Board-certified or board-eligible in Diagnostic Radiology with at least 2 years of post-training clinical experience.
• Currently based in the US.
• Strong written communication skills and meticulous attention to diagnostic detail.
Strong Plus:
• Fellowship training in Musculoskeletal Radiology and/or Neuroradiology
• Primary clinical focus in MSK Radiology and/or Neuroradiology
• Experience with complex MRI results or academic/teaching experience (e.g., creating case assessments, conference experience).
Time, Pay, and Terms:
• Pay range: approximately 290–340 USD per hour, depending on experience and location.
• Classification: independent contractor, at-will.
• Schedule: fully remote, self-directed work; tasks are asynchronous and can be completed around your clinical schedule.
• Commitment: minimum of 10 hours over an estimated 7-week project window, with potential for extension based on performance and project needs.
• Weekly payments via Stripe or Wise based on hours worked.
• At this time, Folio is unable to support H1‐B or STEM OPT candidates.
