$170–190/hr · Mercor · Hourly, 10 hours a week
Evaluate AI-generated clinical documentation for accuracy, safety, and usefulness to practicing physicians in ambulatory settings.
What you would do
- Review medical records, visit summaries, and patient charts for precision and completeness
- Compare AI-generated text against how a clinician would document the same encounter
- Annotate encounter scenarios using detailed clinical standards and protocols
- Identify missing elements, false content, medical errors, and documentation deficiencies in AI-produced material
- Communicate findings in structured form to development and clinical teams for implementation
Who they want
- MD or DO currently practicing in outpatient or ambulatory setting, any specialty
- US-based with direct experience writing clinical notes in outpatient practice
- Advanced (C1+) proficiency in a second language from approved list including Spanish, Mandarin, Arabic, Portuguese, French, German, or others
- Minimum 10 hours weekly availability
- Comfortable reading clinical material and writing structured feedback in English
Main skills
What the interview asks about
1.Clinical documentation accuracy
The interviewer verifies you can reliably identify when AI-generated notes contain errors, omissions, or clinically unsafe content.
For example: “An AI-generated note for a diabetic patient on metformin documented glucose readings but omitted kidney function assessment. Explain why this omission matters clinically and how you would flag it.”
2.Translating clinical expertise into structured feedback
Engineering teams must understand clinical concerns without ambiguity; your ability to articulate issues clearly determines implementation quality.
For example: “You reviewed an AI note that included correct information but framed it in a way that might mislead clinical decision-making. How would you describe this problem to a non-medical engineer so they understand the risk?”
3.Guideline interpretation and edge cases
Ambiguous guidelines require clinical judgment to apply consistently; you must flag unclear guidance and help refine annotation standards.
For example: “The annotation guidelines define a hallucination but don't address subtle cases where AI adds plausible-sounding details without evidence. How would you classify such cases and suggest clarification?”
4.Specialty-specific documentation standards
Clinical documentation varies by specialty; you must recognize what constitutes complete, accurate documentation for your own practice context.
For example: “In your specialty, certain findings typically prompt specific follow-up actions. An AI note documented the finding but omitted the standard follow-up plan. Is this an error, and how would you communicate it?”
A task you may get
Review a sample outpatient encounter with an AI-generated note, identify documentation gaps and inaccuracies, and write structured feedback flagging key concerns.
How to prepare
- Review clinical documentation quality standards and common AI annotation examples
- Prepare examples of edge cases from your specialty where guidelines might be ambiguous
- Refresh your proficiency in your second language, particularly medical terminology
- Document instances where AI-assisted documentation has supported or hindered your own practice
The facts
- Pay
- $170–190/hr
- Hours
- Hourly, 10 hours a week
- Where
- Remote
- Open to
- USA
- Project name
- Boron
- Posted
- 9/10/2026
We wrote this page from the public Mercor listing. It may be out of date, so read the full posting before you apply.