Patient-free, flexible work applying your clinical judgement — not undertaking AI training yourself.
“More than 40 million people turn to ChatGPT every day with healthcare questions. One in four of our 800 million regular users submits a health-related prompt every week.”
— OpenAI, AI as a Healthcare Ally, January 2026
Health AI cannot be trained safely on data alone.
This site explains how doctors, nurses, and allied health professionals can apply their professional judgement to health AI training, evaluation, and quality assurance — through flexible, remote contract work that fits alongside existing clinical roles.
This is not about coding or building AI systems. It is about using your clinical reasoning, risk awareness, and contextual judgement to improve how health AI behaves in real-world scenarios — teaching it to be safer, more reliable, and better.
Why health AI needs clinicians involved in training it
Health AI systems are increasingly used to support clinical decision-making, triage, documentation, and patient communication. Training them responsibly requires clinicians to be directly involved — particularly where nuance, uncertainty, and patient safety are at stake.
Without clinical judgement embedded in training, AI systems can appear confident while being unsafe, miss real-world trade-offs, and optimise for plausible-sounding answers rather than clinically appropriate ones.
As a result, many health AI projects now rely on clinicians reviewing prompts, assessing outputs, and defining what “good” looks like in practice — carried out remotely, task by task, through platforms like Mercor and Micro1.
Who this contract work suits
This type of remote health AI training work suits clinicians with real-world healthcare experience, including:
- Doctors and GPs
- Nurses and advanced practitioners
- Pharmacists
- Physician Associates
- Allied Health Professionals
Work is flexible, task-based, and compatible with portfolio or locum careers, subject to individual contracts and employer policies.
One of Mercor’s founders explains how the platform works and what they’re looking for in AI trainers. Worth three minutes before you apply. Yes, he’s in his early 20s and worth billions of dollars.
Our approach
Applied Clinical Judgement is not a recruitment agency and not an AI product vendor.
We provide clear, accurate explanations of what health AI training contract work actually involves, and help clinicians decide whether it is right for them. We do not employ clinicians, manage contracts, or place people into roles — that relationship is entirely between you and the platforms (Mercor, Micro1) we signpost.
We avoid hype, opaque claims, and exaggerated promises. We have an editorial policy and hold ourselves to it.
Frequently asked questions
Is this work remote? Yes. Health AI training and evaluation work is carried out remotely, in your own time, at times of your choosing.
Do I need technical or coding skills? No. Clinical judgement and real-world experience are what is required. Most tasks involve reading, reasoning, and writing — assessing AI outputs, defining reference answers, and quality checking responses.
Is patient data involved? No identifiable patient data is used.
Is this a job or freelance contract work? This is contract project work, not employment. Most arrangements are flexible and task-based rather than salaried. You will be contracting directly with Mercor or Micro1, not with this site.
Can I do this alongside NHS or locum work? In many cases yes — subject to your employer’s policy on secondary work and any conflicts of interest.
Written by
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 — from LIMS and PACS deployments to primary care, urgent care, mental health, and national interoperability work. Not a clinician. His perspective is that of a practitioner who understands how digital health really gets built, procured, and adopted in the real world.