Radiologist - AI Trainer

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Radiologist (MD) - Medical Imaging AI Annotation & Evaluation

Type: Contract

Compensation: $200–$400/hour

Location: Remote

Commitment: 15+ hours/week

Role Responsibilities

• Evaluate AI-generated reads against clinical standards, identifying hallucinated findings and unsupported certainty.
• Develop structured finding labels by reading studies and annotating discrete findings such as presence, location, and severity.
• Author reference reports to establish ground truth for AI model evaluation.
• Interpret imaging-based clinical cases, documenting diagnostic reasoning step by step.
• Create grading criteria and guidelines to differentiate excellent reads from acceptable ones.
• Construct difficult-case questions to challenge and improve AI model reasoning.

Qualifications

Must-Have

• MD or DO with completed diagnostic radiology residency.
• Board certification or board-eligible with residency complete.
• Active, unrestricted medical license in your country of practice.
• 2+ years post-residency reading independently.
• High-volume independent reads experience.
• Command of structured reporting standards (BI-RADS, LI-RADS, Lung-RADS, TI-RADS).
• Written and spoken English fluency.
• Minimum 15 hours per week availability.

Preferred

• Fellowship subspecialty training in neuroradiology, musculoskeletal, body/abdominal, chest, breast, or pediatric imaging.
• U.S. licensure and board certification.
• Experience in medical image annotation, AI evaluation, or dataset curation.
• Teaching, rubric design, or resident assessment experience.
• Published research or sustained technical writing (please link a sample).

Application Process (Takes 20–30 mins to complete)

• Upload resume
• AI interview based on your resume
• Submit form

Resources & Support

• For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
• For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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