Mercor
This role involves evaluating large language models' ability to answer advanced musculoskeletal (MSK) and neuroradiology cases by designing expert-level diagnostic challenges and developing gold-standard answers with clear diagnostic reasoning. The position emphasizes edge cases, nuanced differentials, and multimodal reasoning, requiring collaboration with AI research teams and providing feedback on model reasoning failures.
Key Responsibilities
- • Evaluate the ability of large language models to answer advanced, real-world MSK and neuroradiology cases.
- • Design expert-level diagnostic and reasoning challenges that current models struggle to answer.
- • Develop gold-standard answers with clear diagnostic reasoning.
- • Emphasize edge cases, nuanced differentials, and multimodal reasoning, particularly in MSK and neuroradiology.
- • Collaborate directly with research teams at a leading AI lab.
- • Provide feedback on common failure modes in model reasoning.
Required
- • MD or DO from an accredited medical school.
- • Completion of an ACGME-accredited Diagnostic Radiology residency.
- • Completion of a radiology fellowship (any subspecialty).
- • Board-certified or board-eligible in Diagnostic Radiology.
- • 2+ years of post-training clinical experience.
- • Exceptional attention to detail.
- • Strong written and verbal communication skills.
Preferred
- • Fellowship training in Musculoskeletal Radiology and/or Neuroradiology.
- • Primary clinical practice focused on MSK or neuro imaging.
- • Academic or teaching experience (residents, fellows, conferences).
- • Experience creating case-based assessments, exam questions, or rubrics.
- • Background in complex MRI interpretation or subspecialty-heavy workflows.
Company Overview
Industry: Healthcare Technology
Company Size: 500-1,000 employees
Founded: 2015
Headquarters: San Francisco, CA
Company Links
Key Contacts
Contact information not available
About the Company
Leading healthcare technology company focused on improving patient outcomes through innovative digital solutions. We're transforming the way healthcare is delivered with cutting-edge technology and data-driven insights. Our platform serves over 10,000 healthcare professionals and has processed millions of patient interactions.
Recent News & Updates
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: Fellowship-Trained Radiologist
Type: Contract
Compensation: $40–$50/hour
Location: Remote
Role Responsibilities
- Evaluate the ability of large language models to answer advanced, real-world MSK and neuroradiology cases.
- Design expert-level diagnostic and reasoning challenges that current models struggle to answer.
- Develop gold-standard answers with clear diagnostic reasoning.
- Emphasize edge cases, nuanced differentials, and multimodal reasoning, particularly in MSK and neuroradiology.
- Collaborate directly with research teams at a leading AI lab.
- Provide feedback on common failure modes in model reasoning.
Must-Have
- MD or DO from an accredited medical school.
- Completion of an ACGME-accredited Diagnostic Radiology residency.
- Completion of a radiology fellowship (any subspecialty).
- Board-certified or board-eligible in Diagnostic Radiology.
- 2+ years of post-training clinical experience.
- Exceptional attention to detail.
- Strong written and verbal communication skills.
- Fellowship training in Musculoskeletal Radiology and/or Neuroradiology.
- Primary clinical practice focused on MSK or neuro imaging.
- Academic or teaching experience (residents, fellows, conferences).
- Experience creating case-based assessments, exam questions, or rubrics.
- Background in complex MRI interpretation or subspecialty-heavy workflows.
- Complete a short interview (20–30 minutes total).
- The interview will explore your clinical background and subspecialty expertise.
- Upload resume
- AI interview based on your resume
- Submit form
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
- For any help or support, reach out to: [email protected]
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