As an AI Evaluator (Clinical), you will spend around 10–15 hours per week reviewing and assessing AI-generated outputs as part of health AI training and evaluation.
You will not be writing prompts or building AI systems.
You will be applying clinical judgement to evaluate whether AI responses are safe, realistic, and clinically appropriate.
This work is remote, asynchronous, and designed to fit flexibly around existing clinical roles.
How your week is structured
You will work flexibly, completing tasks within clear deadlines rather than fixed hours.
Most clinicians fit AI evaluation work around:
- Evenings
- Non-clinical days
- Short, focused blocks during the week
There is usually no shift pattern, no on-call expectation, and no requirement to be online at specific times.
Monday: reviewing allocations and criteria (1–2 hours)
At the start of the week, you will log into the project workspace to review newly assigned evaluation tasks.
You will typically:
- Check your evaluation queue or task list
- Review updated scoring criteria or guidance
- Read any clarifications from the delivery team
- Scan relevant messages in the team’s Slack channels
Each task will be clearly defined, including:
- The type of clinical scenario
- What you are being asked to assess
- The evaluation framework or rubric
- Expected time per task and deadlines
You can then plan how to spread the work across your week.
Midweek: evaluating AI outputs (7–9 hours total)
Most of your time will be spent on structured, independent evaluation work.
Reviewing AI-generated responses
You will review AI responses to clinical prompts and assess them for:
- Clinical appropriateness
- Safety and risk awareness
- Use of uncertainty and caveats
- Alignment with real-world practice
You may be comparing multiple AI outputs or scoring a single response against defined criteria.
Applying consistent judgement
Unlike authoring roles, evaluation work focuses on consistency and reliability.
You will:
- Apply the same standards across many cases
- Identify over-confidence, omissions, or unsafe advice
- Flag responses that appear plausible but are clinically misleading
This work often feels similar to audit, peer review, or governance activity.
Working asynchronously and independently
You will complete tasks when it suits you. Typically, there are:
- No live meetings
- No expectation of immediate replies
- No need to remain logged in
Most clinicians complete evaluation tasks in short, focused sessions.
Communicating with the team (1–2 hours total)
Throughout the week, you will communicate asynchronously with other team members.
This may include:
- Asking for clarification on scoring criteria
- Flagging concerning or ambiguous outputs
- Noting recurring safety patterns
- Responding to feedback or calibration updates
Communication is written, professional, and low-pressure, with clear escalation routes when needed.
Later in the week: calibration and feedback (2–3 hours)
You will often take part in calibration activities to ensure consistency across evaluators.
This may involve:
- Reviewing example “anchor” responses
- Comparing your ratings with expected standards
- Adjusting scoring based on updated guidance
- Learning how edge cases are being handled
This process helps ensure reliable application of clinical judgement across the project.
How responsibility is shared
You will not be working in isolation.
Your evaluation work sits within a wider health AI team, including:
- AI Trainers who create reference material
- Clinical Subject Matter Experts handling escalation
- Project managers coordinating delivery
- Technical teams implementing changes
Your responsibility is to apply judgement to your assigned evaluations, not to make final decisions about the AI system as a whole.
What this work feels like
Clinicians often describe AI evaluation work as:
- Analytical and methodical
- Similar to audit or quality assurance
- Focused on safety and standards
- Easier to fit around life than rota-based work
There is no direct patient contact, but the work plays a clear role in protecting downstream users of health AI.
Is this realistic alongside other work?
For many clinicians, yes.
A typical 10–15 hour week might include:
- Several short evening sessions
- A longer block on a non-clinical day
- Brief check-ins spread across the week
Time commitment varies by project, but the work is designed to be flexible and predictable.
Interested in AI Evaluator (Clinical) roles?
If remote health AI evaluation work that focuses on safety, consistency, and professional judgement sounds like a good fit, you can explore current opportunities advertised via LinkedIn.
Clear expectations. Flexible work. No obligation.