This job post has expired on August 21, 2025. It is likely that the position has already been filled.
Radiology Expert
Job Type: Hourly Contract (Remote)
Compensation: $175 per hour (USD)
Location: Remote (Applicants must be based in the United States, United Kingdom, or Canada)
About Mercor:
Mercor connects elite experts with top AI research labs to advance groundbreaking technology projects. Based in San Francisco, CA, our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.
About the Role:
Mercor is hiring experienced Radiologists for a premier project in collaboration with a leading AI research lab. Your expertise will contribute to analyzing the capabilities of large language models (LLMs) in answering complex radiology questions. You'll create challenging questions, evaluate model responses, and provide accurate solutions to guide AI improvement.
Key Responsibilities:
Develop complex radiology questions designed to test large language models.
Provide precise solutions and detailed explanations for these questions.
Collaborate directly and asynchronously with top AI research teams.
Ideal Qualifications:
MD from a recognized, top-tier university.
Board-certified radiologist with 3+ years of professional experience.
Excellent attention to detail and accuracy.
Exceptional written and verbal communication skills.
Role Highlights:
Flexible, remote, asynchronous work tailored to your schedule.
Minimum commitment: 10 hours per week (up to 40 hours available).
Project duration: Approximately 2–3 months, starting from July 24.
Application Process:
Complete a brief application form and a short 20–30 minute interview.
Interview will focus on professional experience and rubric creation skills.
Compensation & Legal Details:
Independent Contractor position.
Weekly payments via Stripe Connect.
Mercor is committed to equal opportunity employment and welcomes applications from all qualified individuals. Reasonable accommodations are available upon request.
Apply today to advance the future of AI-driven radiology!