The AI tools your patients will use are being built right now, and most of them need something only clinicians can give: clinical judgement. That has created a new kind of work for doctors, nurses, pharmacists and allied health professionals. It's paid, it's remote, and it fits around clinical commitments.
If you've seen these roles advertised and wondered what they actually involve, this guide explains the work, how pay usually works and what to check before you start.
What the work involves
Most clinical AI work falls into three types:
- •Annotating medical data. Labelling and grading images, records and clinical text so they can be used to train or test a model. A radiologist might mark findings on a scan; a GP might label symptoms in consultation notes.
- •Evaluating AI outputs. Checking AI-generated answers, notes and findings for accuracy, safety and missing information, then explaining what is wrong and why.
- •Writing expert examples. Creating clinical cases, questions and model answers, and giving structured feedback that helps a model improve.
None of it needs coding or technical AI knowledge. What companies need is your clinical judgement, applied carefully and consistently.
Who can do it
The demand is broader than most people expect. DeepLabel and BiteLabs are both part of BiteWorld Ltd. DeepLabel recruits:
- •doctors of all grades and specialties, including radiology, ophthalmology, pathology, dermatology, psychiatry, emergency medicine and general practice;
- •nurses, pharmacists and allied health professionals.
You need to be registered with the relevant professional regulator, such as the GMC, NMC, GPhC or HCPC, or an equivalent body outside the UK. No AI experience is needed.
How pay works
With DeepLabel, you're paid per project, at a rate agreed with you before it starts, and you work as an independent contractor. Rates depend on the specialty and the task, so there is no single figure; each project brief tells you the rate and the time involved before you say yes.
You choose which projects to take on. Joining the panel doesn't commit you to any work.
How much time it takes
It depends on the project. Each brief tells you the time involved before you accept, so you can take on work that fits around rotas and clinics rather than competing with them.
How patient data is protected
This is the question clinicians rightly ask first. Before you see any project data, you sign a confidentiality and data protection agreement. You only access the data your task needs, through approved secure tools.
Three things to check before you start
- 1.Your employer's rules. Many NHS and private employers ask you to declare other paid work. A quick check with your contract or medical staffing team avoids surprises.
- 2.Tax. Contractor income is usually taxable as self-employment income, so keep records. This isn't tax advice; an accountant can confirm what applies to you.
- 3.Your registration. Keep it current. Reputable providers check it before you start, and DeepLabel does.
Why clinicians do it
The money helps, but it's rarely the only reason. The work gives you first-hand insight into how healthcare AI is built and tested, and a real say in the tools your patients will meet. You can read more about what DeepLabel does for healthcare AI companies.
"The clinicians on our panel aren't just labelling data. They're deciding what safe and accurate looks like for the AI their own patients will one day use, and that's work only a clinician can do." Dr Azeem Alam BEM, Founder of DeepLabel
How to get started with DeepLabel
- 1.Apply. Tell DeepLabel about your profession, specialty and availability. It takes a few minutes.
- 2.Get verified. DeepLabel checks your professional registration and experience.
- 3.Get matched. When a project fits your specialty, you receive the brief, the time involved and the rate.
- 4.Review and get paid. Complete the work on secure tools, with quality checks and support from the team.
Already part of BiteLabs? Mention it when you apply. You can apply to join DeepLabel's specialist panel today.
