$55–65/hr
The role in one line
Support clinical AI development through inpatient bedside nursing expertise.
Written by Training Turk from the public listing; it may be incomplete or out of date. Read the full posting on Mercor.
What you would do
- Annotate and clinically review patient documentation
- Conduct model evaluation assessing AI clinical recommendations
- Investigate user feedback and identify patterns
- Contribute to clinical taxonomy development
- Proactively identify safety concerns and improvement opportunities
Who they are looking for
- US-based with ability to practice as RN
- Recent inpatient bedside nursing experience with broad exposure
- Comfortable reviewing diverse populations
- Self-starter with high ownership mentality
- Proactive and detail-oriented with rigorous clinical thinking
What the interview is likely to probe
1.Identifying clinically inappropriate AI recommendations
AI misses contextual factors; a recommendation safe for one population may be unsafe for another.
Expect something like: “An AI recommends aggressive fluid resuscitation for sepsis, but the chart shows chronic kidney disease and heart failure. How would you flag this and document the issue?”
2.Recognizing documentation patterns affecting training
AI learns from data patterns; incomplete or biased documentation gets internalized as AI behavior.
Expect something like: “Sepsis documentation at your hospital lacks vital sign trends compared to other hospitals. How does this gap affect AI training accuracy?”
3.Applying judgment under clinical ambiguity
Real scenarios involve incomplete information and multiple viable approaches; AI must learn to reason through uncertainty.
Expect something like: “A presentation could fit several diagnoses with different treatment paths. How would you assess the most likely diagnosis and what additional data would matter?”
Exercise you may get
Review three anonymized patient scenarios with AI assessments. For each, evaluate appropriateness, flag concerning recommendations, and explain your clinical reasoning.
How to prepare
- Gather examples from your work of complex presentations where judgment mattered
- Reflect on cases where initial impressions changed as data accumulated
- Study your hospital's EHR documentation patterns and their decision-making impact
Facts
- Pay
- $55–65/hr
- Commitment
- hourly
- Work arrangement
- remote · Remote
- Eligible locations
- USA
- Domain
- Medicine
- Company
- Boron
- Posted
- 9/19/2026
- Open slots
- 1