What Medical AI Work Actually Looks Like for UK Doctors

The conversation in NHS break rooms has shifted. Alongside locum rotas and private practice, doctors are now discussing a new form of clinical work: training artificial intelligence.

Medical AI work has become a regular part of practice for a meaningful number of UK doctors — flexible, asynchronous, and increasingly substantive. The time commitment ranges from a few evening hours per week to a portfolio-scale workload, and the work itself is closer to clinical reasoning than to traditional locum shifts. Here is what the typical patterns look like.

Workload Scenarios

Realistic patterns of medical AI work at different commitment levels.

Why AI Companies Specifically Need Doctors

Why would a technology company engage an NHS registrar to review AI responses instead of an engineer?

The answer is simple: they cannot substitute for clinical expertise.

AI models generating medical advice need to be checked by people who actually know medicine. An engineer can review whether the AI's response is well-formatted, but only a doctor can tell whether it would kill a patient.

This is especially true for:

• Diagnostic reasoning — is the AI following a sensible clinical pathway?
• Prescribing safety — has the AI suggested a dangerous drug interaction?
• Guideline adherence — does the response align with NICE, BNF, and current evidence?
• Clinical nuance — has the AI missed a red flag that any experienced doctor would catch?

Your years of medical training and clinical experience are exactly what these companies lack — and what their products cannot ship without.

What Does the Work Actually Look Like?

A typical RLHF session for a doctor might involve:

1. Reading an AI-generated medical response — perhaps the AI is answering "What should I do about chest pain?"
2. Rating its accuracy — is the advice clinically appropriate? Would it be safe to follow?
3. Providing corrections — rewriting sections that are wrong, dangerous, or misleading
4. Comparing two AI responses — which is better from a clinical perspective? Why?

Most doctors describe it as "clinical reasoning practice" — engaging but not physically demanding. You're applying the same skills you use in clinic, just in a different format.

How It Compares to Locums

The natural comparison is with locum work. Here's how they stack up:

Factor	AI Work	Locum Shifts
Hourly rate	£50-100/hr	£60-120/hr (specialty dependent)
Location	Remote (home)	On-site (hospital/practice)
Flexibility	Any time, any day	Fixed shift times
Commute	None	Varies
Physical demand	Low (desk work)	High (clinical)
GMC indemnity	Not required	Required
CPD value	Emerging	Established

For many doctors, the combination of comparable pay, zero commute, and total flexibility makes AI work an attractive complement — or even replacement — for locum shifts.

Getting Started

The path from "interested" to "active" is straightforward:

1. Register on EnterTheLoop — select "Doctor" as your category
2. Verify your email and complete your professional profile (GMC number, specialty, training grade)
3. Upload your credentials — GMC certificate, medical degree, photo ID
4. Get verified — we check your GMC registration against the public register (2-3 business days)
5. Get matched — receive AI roles matched to your specialty and availability

The entire process takes less than 15 minutes of active time, plus 2-3 days for verification.

Tax Considerations

FAQ

Do I need to tell my NHS employer?

You should declare secondary employment as part of your contractual obligations, though most trusts don't restrict remote AI work that doesn't conflict with your clinical duties.

Will this affect my pension?

AI income doesn't directly affect your NHS pension contributions, but if your total income exceeds the annual allowance, you may face a pension tax charge. Seek advice from a medical accountant.

Can I do AI work during my training?

Yes. Foundation doctors and registrars regularly do AI work. It doesn't count towards your training hours, but it's not prohibited. Check your deanery's policy on secondary employment.

How quickly can I start?

Most doctors receive their first role match within 1-2 weeks of completing verification. From sign-up to first task is typically 2-4 weeks.

Is this a fad or a long-term opportunity?

The healthcare AI market is projected to exceed $150 billion by 2030. The demand for medical expertise in AI training is growing, not shrinking. Early contributors are building reputations and relationships that will compound for years.