The standard medical AI is measured against.
You set the bar for what a correct, well-reasoned answer looks like — and you can see the subtle conceptual error hidden inside a fluent explanation. That's exactly the standard medical AI has to be held to.
In short
- Use your clinical judgement to make medical AI safer
- Free training and calibration — no AI background needed
- Remote and flexible, around your practice
- Verified against your professional register
How you make medical AI safer.
Medical AI is only as safe as the experts who judge it. These are the calls only life sciences academics are placed to make — the failures you can catch that a model never will on its own.
Catch the subtle conceptual error
See the mechanism, pharmacology or physiology a model gets almost-right — the error buried in an otherwise fluent answer.
Set the standard
Design the rubrics and structured criteria that define what a genuinely good answer is.
Bring specialty depth
Apply deep domain knowledge in fields where surface-level checking simply isn't enough.
Curate teaching-grade cases
Build the high-quality cases and ground truth the next generation of models learns from.
Ways to contribute.
The same expertise, applied across the work that makes medical AI safer — pick what fits you.
Standard-setting & rubric design
Define the criteria models are evaluated against.
Evaluation & red-teaming
Judge conceptual correctness across your domain.
Dataset & curriculum curation
Author the gold-standard content that trains and tests models.
From life sciences academics to certified evaluator.
Every contributor takes the same calibrated path first — free, self-paced, and the reason AI teams can trust your judgement.
Foundation course
Learn the concepts, methodology and clinical AI safety principles behind the work.
The daily loop
A set of five cases most days, written for your profession. You answer, say how sure you are, and see how it resolved.
The record of your judgement
A report recording how a clinician performed across the eight task types. The calibration that issued them closed in September 2026, and the reports already issued still stand.
Get matched
We match you to evaluation work that fits your expertise.
Common questions
Life Sciences Academics FAQ
How life sciences academics get started, what the work involves, and how verification works.
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entertheloopClinicians powering AI alignment, training & safety.Verified against
entertheloopClinicians powering AI alignment, training & safety.