Radiologist (AI Evaluation Project) – Remote, Contract

Remote Full-time
About the Opportunity A leading AI talent platform, Mercor, is seeking fellowship-trained Radiologists to support a project with one of the world’s top AI research labs. This role focuses on evaluating and improving the performance of large language models on advanced, real-world radiology cases. Radiologists from all diagnostic subspecialties are encouraged to apply, with strong demand for Musculoskeletal (MSK) and Neuroradiology specialists. What You’ll Do • Design expert-level diagnostic and clinical reasoning challenges for AI systems • Develop authoritative, gold-standard answers with clear diagnostic logic • Emphasize nuanced differentials, edge cases, and multimodal reasoning • Provide structured feedback on common AI reasoning failures • Collaborate with research teams at a leading AI lab to improve model accuracy Required Qualifications • 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 • Currently based in the United States • Strong attention to detail and excellent written communication skills Strongly Preferred • Fellowship training in Musculoskeletal Radiology and/or Neuroradiology • Primary clinical focus in MSK or neuro imaging • Academic or teaching experience (residents, fellows, conferences) • Experience developing case-based assessments, exam questions, or rubrics • Advanced MRI interpretation or subspecialty-heavy workflows Engagement Details • Fully remote, flexible schedule • Independent contractor role • Project duration may vary based on performance and project needs • Weekly payments via Stripe or Wise • No access to confidential or proprietary employer or institutional data • H-1B and STEM OPT sponsorship not available Interview Process • One short interview (approximately 20–30 minutes) • Discussion of clinical background and subspecialty expertise Equal Opportunity All qualified applicants are considered without regard to legally protected characteristics. Reasonable accommodations are available upon request. Job Types: Contract, Temporary Pay: $290.00 - $340.00 per hour Expected hours: No more than 20 per week Benefits: • Flexible schedule Work Location: Remote Apply tot his job
Apply Now

Similar Opportunities

AI Software Developer

Remote Full-time

System Engineer (Clinical Trials Management)

Remote Full-time

[Remote] Founding AI Engineer (LLMs & Autonomous Agents)

Remote Full-time

Lead AI Product Engineer - AI Agents & Emerging Products

Remote Full-time

Backend Engineering Specialist - AI Trainer

Remote Full-time

Media Network Engineer, Prime Video Live Sports - Tech Ops

Remote Full-time

Amazon (Data Entry) Work From Home - No Experience Needed | Join Our Team

Remote Full-time

Senior Supply Manager - AMERICAS (contract)

Remote Full-time

Technical Support Customer Service. (Hybrid- Onsite/Remote). Tucson Candidates Only in Tucson, AZ

Remote Full-time

Experienced Part-Time Online Remote Amazon Data Entry Specialist - Flexible Work-from-Home Opportunity with a Dynamic Team

Remote Full-time

Experienced Remote Web Chat Customer Service Agent – Delivering Exceptional Support and Building a Career with arenaflex from the Comfort of Your Home

Remote Full-time

CDL-A Company Truck Driver

Remote Full-time

Remote Part Time Data Entry Clerk - Flexible Schedule, No Experience Required, Work from Home Opportunity with Career Growth

Remote Full-time

**Experienced Online Chat Support Representative – Exceptional Customer Service Expert**

Remote Full-time

**Experienced Data Entry Clerk – Web & Cloud Application Development at blithequark**

Remote Full-time

**Experienced Customer Service Representative – Delivering Exceptional Air Travel Experiences at blithequark**

Remote Full-time

**Experienced Customer Service Representative – TRICARE & Medicare Benefits Support**

Remote Full-time

**Experienced Overnight Customer Care and Technical Support Advisor – EdTech Ecosystem**

Remote Full-time

[Remote] ​​Public Health Policy Intern​

Remote Full-time

Controls Engineer / All Levels

Remote Full-time
← Back to Home