Medical MD Expert - Remote Contract Role
Listing checked September 22, 2026 · pay as published by AfterQuery
Overview
AfterQuery, a YC-backed startup, needs practicing or recently graduated physicians to build and grade the clinical material that trains its medical AI. You will write case studies and decision scenarios drawn from real practice, then score how model outputs hold up against clinical guidelines and standard care. The work sits at the meeting point of medical education and digital health, with roughly 20 hours a week on a remote, asynchronous schedule. Cases you design directly shape whether these systems give sound advice when clinicians and patients rely on them.
What You'll Do8
- 1Write in-depth case studies and clinical scenarios that push AI models toward careful, context-aware medical reasoning.
- 2Review model answers for clinical accuracy, internal logic and alignment with current treatment guidelines.
- 3Score and annotate responses against established standards of care, documenting where reasoning breaks down.
- 4Adjust case difficulty with a cross-functional team so scenarios mirror genuine clinical dilemmas and accepted practice.
- 5Track repeated error patterns across model outputs and report them to guide upcoming training rounds.
- 6Keep case content current as guidelines, diagnostics and treatment approaches change.
- 7Log review decisions in a form teammates can audit and reuse.
- 8Deliver roughly 20 hours of case development and evaluation each week on a self-managed schedule.
Requirements8
- 1Medical Doctor (MD) degree completed or in progress at an accredited institution.
- 2Active licensure in a recognized jurisdiction.
- 3Clinical or academic background that shows command of current medical practice and care delivery.
- 4Strong analytical ability plus clear writing and speaking skills when explaining complex medical situations.
- 5Several years of clinical practice or meaningful research work in a medical specialty (preferred).
- 6Track record building educational content, clinical training material or medical technology projects (preferred).
- 7Working knowledge of AI or digital health tools that touch medical education and clinical decision-making (preferred).
- 8Ability to commit around 20 hours per week for the length of the contract.
Who Should Apply
Physicians with an active license, a completed or in-progress MD and real exposure to patient care fit this contract best, especially those who have written teaching cases or worked on clinical content before. A specialist background or research experience gives you an edge, as does any hands-on time with health AI tools. The role suits doctors who want part-time, async work alongside practice rather than a full clinical load. Candidates without current licensure or an NPI get filtered out early, since both are required at application. Another common miss is writing case studies that stay generic instead of capturing the ambiguity clinicians actually face, which lowers fit scores fast.
Salary Insight
The rate runs $120.00 to $200.00 per hour, with performance incentives on top. At 20 hours a week, that range matches what specialized physicians typically earn for expert-network and clinical content work, and the top of the band usually goes to candidates with deep specialty experience or a strong publication and teaching record.
Pay and demand for Machine Learning & AI roles
AggregatedTypical pay
$75/hour
This role
$120–$200/hr
Most Machine Learning & AI roles pay $55–$105 per hour. This role's pay sits above that range.
Based on 541 similar roles that publish pay · 92 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
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Hiring most right now: micro1 (270) · Mercor (93) · SME Careers (63)
Most requested skills · share of roles
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- llm evaluation8%
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Compensation
$120–200/hr
Required Skills
Application Tip
Have your medical license (MD/DO) and NPI numbers ready before you apply, since both are requested as credentials. Pair them with one or two concrete examples of case studies, teaching material or clinical decision content you have written, and name the specialty and guideline sources you worked from so reviewers can gauge your clinical depth against the task.
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