AI training contract
Family Medicine Hospitalist
Medicine & Health · USD 80-125 an hour. · 50 openings
Family Medicine Hospitalist 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. USD 80 to USD 125 an hour, as published by micro1. Rates in this category track how rare the credential is rather than how hard the work is.
Where. The listing says this role is remote and names no country. micro1 says it hires talent from around the world, except people who reside in Afghanistan, Belarus, China, Cuba, Democratic Republic of the Congo, Hong Kong, Iran, Iraq, Libya, Macao, Myanmar, North Korea, Russian Federation, Somalia, South Sudan, Sudan, Syria, Venezuela, Ukraine, Yemen, and Ethiopia. So this page lists every other country as eligible, on the strength of that rule and not of anything this listing says. Requirements can still differ by role, so check the application page on micro1 before you apply.
micro1 lists 50 openings on this role.
Skills named: Family Medicine, Quality Assurance, CDI, Inpatient Medicine, Clinical Documentation.
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: Family Medicine Hospitalist Role Type: Contractor Location: Remote micro1 is engaging Family Medicine Hospitalist Physicians to contribute their medical expertise to a customer project focused on inpatient care and documentation standards. In this role, you’ll apply your broad 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 documentation, including HPI, PMH, assessments, and plans. Follow clear guidelines and apply the same standards consistently. Identify missing, incorrect, or inconsistent information in medical records. Share feedback to help improve AI models and data quality. Communicate clearly with the project team about your work and findings. Preferred Qualifications At least 5 years of hospitalist experience. MD or DO, board certified in Family Medicine (or Family Medicine with a Hospital Medicine focus or certification). 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. Experience across a broad patient mix, such as adult medicine, geriatrics, pediatrics, or obstetric/newborn care, is a plus. Family medicine’s cross-population training is especially valuable here.
All AI training roles we track · Every micro1 opportunity with filters
Rate, openings and requirements checked 2026-10-19 against micro1's own public postings.