Radiologists · Medical Imaging Specialists · Remote · AI Training
“Years of reading images built a skill set AI can’t replicate.
That expertise is exactly what’s needed now.”
Get paid to make medical AI safer — using the diagnostic expertise you already have.
AI labs building radiology and clinical reasoning models need fellowship-trained specialists to evaluate outputs, design expert-level challenges, and flag what the model gets wrong. No AI background required — your imaging expertise is the qualification.
⚠️ Roles open and close frequently
AI training projects run in sprints and listings change quickly. If you click through and find a role is closed, look for the Subscribe button on the platform page to get an email when it reopens. Even better: complete your profile on the platform now. Once registered, Mercor and Micro1 will contact you directly when a suitable new role comes up — even ones not listed here.
What ACJ is
Applied Clinical Judgement is a referral service run by Sean Key, a Digital Health Senior Programme Manager with 29 years of NHS and private sector experience. ACJ identifies AI training roles across platforms including Mercor and Micro1, and refers qualified candidates. If you’re placed, ACJ earns a referral fee from the platform. This doesn’t affect your pay or application in any way.
What the platforms are
Mercor and Micro1 are AI staffing platforms that connect subject-matter experts with AI companies needing training data. Neither is an employer — work is freelance contract. You are paid as an independent contractor, typically weekly via Stripe or Wise. Sean is a referral partner, not an employee or representative of any platform.
How we support your application
When you apply we’ll ask for your name or email — either is fine. If you leave your email, we can support you through the application process. Strong candidates can also request a vouch: a brief 15-minute call with Sean, after which ACJ can add a personal recommendation to your application.
What happens after you apply
You will complete a profile and an AI interview on the platform. The platform then matches you to relevant projects. There is no guarantee of work — matching depends on your background and current project availability. Rates shown are indicative and set by the platform.
▼ Read all five — tap to expand
Adar Hiremath is the co-founder and CTO of Mercor — the platform you will register on for the first three roles on this page. This short video walks through exactly what the application process looks like: uploading your CV, the AI interview, how projects are matched to your profile, and how you track your earnings. Worth watching before you apply.
Rates quoted in this video are platform-wide maximums across all domains. Radiology and physician roles on this page pay $50–$250 per hour depending on the role and your profile.
Milton is an interventional radiology fellow who started using Mercor to supplement his income during training. He describes training AI to handle the tasks that pull radiologists away from procedures and imaging — protocoling, administrative work — and what it meant to go from financial stress as a fellow to feeling financially stable without working extra clinical hours. Worth two minutes of your time if you’re weighing whether this is worth trying.
Role specifications
Current remote opportunities for radiologists and medical imaging specialists
Expand any role for the full description, a quick fit check, and an application link. All roles are via ACJ — Sean Key will be recorded as your referrer.
Mercor is seeking fellowship-trained radiologists for a project with one of the world’s top AI labs. The work focuses on evaluating the ability of large language models to answer advanced, real-world radiology cases — particularly MSK and neuroradiology. You will design expert-level diagnostic and reasoning challenges that current models struggle to answer, and provide authoritative gold-standard solutions.
What the work involves
- Design expert-level diagnostic challenges with edge cases and nuanced differentials, particularly in MSK and neuroradiology
- Develop gold-standard answers with clear diagnostic reasoning
- Evaluate AI-generated radiology responses for clinical accuracy and reasoning quality
- Provide feedback on common failure modes in model reasoning
- Collaborate directly with research teams at a leading AI lab
Requirements
- 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
Strongly preferred
- Fellowship training in Musculoskeletal Radiology and/or Neuroradiology
- Academic or teaching experience (residents, fellows, conferences)
- Experience creating case-based assessments, exam questions, or rubrics
USA-based candidates only. No H-1B or STEM OPT at this time. Weekly pay via Stripe or Wise. Screening interview approximately 20–30 minutes.
Quick fit check — 5 questions
1. Your radiology qualification
2. Post-fellowship clinical experience
3. Location
4. Written English proficiency
5. Computer access
Join Mercor’s Physician Expert Network to connect with leading AI labs seeking your clinical expertise. This is an open application for future contract opportunities matched to your background and interests. Once you complete your profile and pass the AI interview, you’ll be eligible for relevant projects as they become available. Mercor matches experts to opportunities on a rolling basis — you do not need to monitor new listings separately.
What the work involves
- Training and evaluating AI models in medicine across your specialty
- Creating tasks and deliverables based on real-world clinical scenarios
- Providing domain-specific feedback to advance frontier AI research
- Typical commitment: 15–30 hours per week on active projects
Requirements
- Professional experience in clinical diagnosis, treatment, or patient care management
- Strong written communication skills — clinical documentation standard
- Ability to work independently in a remote environment
- Laptop or desktop computer required (Chromebooks not accepted)
No H-1B or STEM OPT candidates at this time. Weekly pay via Stripe or Wise. This is a talent network — apply once, get matched to projects as they open.
Quick fit check — 5 questions
1. Your medical qualification
2. Post-qualification clinical experience
3. Written English proficiency
4. Weekly availability
5. Computer access
Mercor is collaborating with a leading AI lab to contract experienced health and medical professionals for an AI model evaluation project. Contractors assess the quality, accuracy, and safety of AI-generated responses across clinical and health domains — directly improving the reliability of AI in high-stakes contexts where inaccurate information carries serious risk.
What the work involves
- Write realistic prompts reflecting how professionals seek domain-specific clinical guidance
- Evaluate AI-generated responses for factual accuracy, clinical correctness, and practical usefulness
- Identify fabricated claims, incorrect references, or misleading reasoning in model outputs
- Score and rank multiple model responses using structured rubrics
- Provide written justifications with specific evidence for each evaluation
Requirements
- Master’s degree or higher in Health, Medicine, or a relevant professional field
- Professional experience applying domain expertise in a practitioner or advisory capacity
- Familiarity with clinical guidelines, standards, or regulations
- Strong written communication and critical reasoning skills
- Laptop or desktop computer required (Chromebooks not accepted)
No H-1B or STEM OPT candidates at this time. Weekly pay via Stripe or Wise. ~20 hours/week expected. Application includes a Model Response Evaluation assessment.
Quick fit check — 5 questions
1. Your highest qualification in health or medicine
2. Post-qualification experience
3. Written English proficiency
4. Weekly availability
5. Computer access
Micro1 is recruiting bilingual medical experts to help train AI models in healthcare and medical knowledge. You will design complex, verifiable, and time-resistant medical question–answer pairs from reputable sources, directly improving the accuracy and reliability of AI in medicine. This role requires fluency in English plus at least one other language.
What the work involves
- Create challenging, knowledge-based medical question–answer pairs that address gaps in current AI capabilities
- Research and synthesise content from reliable medical sources to formulate questions and justifications
- Provide detailed, source-backed rationales for each answer to support knowledge traceability
- Collaborate with AI development teams to refine training methodologies and improve model performance
- Communicate complex medical concepts clearly in both written and verbal formats, in multiple languages
Requirements
- Medical degree or equivalent qualification with clinical experience
- Fluency in English plus at least one other language (written and spoken)
- Strong analytical and critical reasoning skills
- Ability to work independently in a remote environment
- Laptop or desktop computer required
Remote, worldwide. Full-time or part-time available. Weekly pay via Stripe or Wise.
Quick fit check — 5 questions
1. Your medical qualification
2. Language fluency (in addition to English)
3. Post-qualification clinical experience
4. Weekly availability
5. Computer access
Questions & answers
Frequently asked questions
Sean Key
Digital Health Senior Programme Manager · 29 years’ NHS & private sector experience
Sean has spent nearly three decades delivering complex digital programmes across the NHS and private healthcare sector. Not a clinician. His perspective is that of a practitioner who understands how digital health systems are built, commissioned, and deployed — and who sees AI training roles as a genuine opportunity for healthcare professionals to shape the tools that will affect their field.