AI training contract
Physician AI Trainer – Hospital Medicine
Medicine & Health · Advertised USD 80-125 an hour. · 50 openings here, 100 across all 2 versions
Physician AI Trainer – Hospital Medicine is contract work for micro1, reviewing and correcting what AI models produce in medicine & health. The output of the job is expert judgement written down: a model gives an answer, someone who knows the subject decides whether it is right and explains why.
What it requires. This role is gated on medical licence. Applications without it are not considered, and the requirement is stated here because the original advert usually carries it well below the rate.
What it pays. micro1 advertises USD 80 to USD 125 an hour. It also states that pay is output based, paid per task that meets the project specifications, so the hourly figure is an advertised equivalent and not a guaranteed wage.
Where. The listing states United States only.
micro1 lists 50 openings on this posting, and 100 across the 2 postings of this role listed below.
Skills named: Hospitalist Experience, Internal Medicine, Pediatrics, Family Medicine, Board Certification.
Applications are made on micro1, not here. WFA Digital is independent of micro1 and may receive a referral fee if you are hired, at no cost to you.
Full listing, as published by micro1
Role Title: Physician AI Trainer – Hospital Medicine Role Type: Contractor Location: United States, Remote micro1 is engaging with Physician AI Trainer – Hospital Medicine to contribute their medical expertise to a customer project focused on inpatient care and documentation standards. In this role, you’ll apply your adult inpatient clinical training to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. Scope of Work Review medical records, including FHIR data and clinical notes, for AI training. Check whether clinical information and claims are supported by the medical record. Review inpatient adult medicine documentation, including HPI, PMH, medication reconciliation, social history, assessments, and plans. Follow clear guidelines and apply the same standards consistently. Identify missing, incorrect, or inconsistent information in medical records, including renal- and hepatic-adjusted dosing, medication interactions, and age-appropriate clinical details. Share feedback to help improve AI models and data quality. Preferred Qualifications At least 5 years of hospitalist experience. MD or DO, board certified in Internal Medicine (or Internal Medicine with a Hospital Medicine focused practice designation). Current or recent inpatient hospitalist experience (within the last 2 years). Strong understanding of inpatient documentation and hospital workflows, including admission, daily progress notes, transitions of care, and discharge. Comfortable reviewing clinical notes and raw medical record data. Strong attention to detail and ability to follow clear guidelines consistently. Experience with chart review, clinical documentation improvement, utilization review, or medical coding/QA is a plus. Compensation Structure Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.
The same role, listed 2 times by micro1
micro1 publishes this role once per version, usually one per language, and each version is its own posting with its own openings and its own application page.
- Physician AI Trainer – Hospital Medicine, 50 openings, the posting this page describes
- Locum Tenens Hospitalist, 50 openings, apply on micro1
Who can apply. The language named in a title is a skill requirement, not a nationality requirement: the listing asks for fluency, not a passport. Nationality is not part of micro1's rule at all. What its rule names is where you live, and that list is under "Where" above.
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Rate, openings and requirements checked 2026-10-19 against micro1's own public postings.