WFH.teamOpen app$166k-$260k
Salary details are shown when available from the source listing. Sign in before applying so the role can be reviewed against your resume, salary goals, seniority, timezone, and location eligibility.
Decision details from the source listing
5+ years stated
MD or DO, Board certification in Internal Medicine, or Internal Medicine with a Hospital Medicine focused practice designation
unspecified
These fields are normalized from the employer's text. Confirm details on the employer site before applying.
What this posting tells you
Remote contractor role for Internal Medicine Hospitalist physicians reviewing inpatient medical records and documentation to support AI training. At least 5 years of hospitalist experience is preferred, along with an MD or DO and the specified Internal Medicine board certification. Compensation is output-based and paid per qualifying task; no pay range is stated. The listing does not specify eligible countries or time zones.
Insurance claims, Data, Healthcare admin, Medical billing, Patient support, Product, QA and testing, Software
Eligible countries are not stated.
Timezone overlap is not stated.
Experienced · Contractor
- Eligible hiring countries are not stated
- Required timezone overlap is not stated
Insurance claims hiring on WFH.team
This role's listed pay is above the median among 196 comparable roles shown here. Category counts come from WFH.team's latest published remote job market snapshot.
Explore the remote job marketInternal Medicine Hospitalist at micro1
Role Title: Internal Medicine Hospitalist
Role Type: Contractor
Location: Remote
micro1 is engaging with Internal 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 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.
Working remotely at micro1
micro1 builds human-expertise data and evaluation infrastructure for AI models and agents. It recruits core-team employees and domain experts for AI training projects.
- Headquarters
- San Francisco Bay Area, California, United States
- Founded
- 2022
Expert opportunities are remote and can be flexible. International applicants are considered, subject to country exclusions and each project's requirements. Core-team work arrangements vary by opening; check the individual posting.
Apply through the official posting. Expert applicants complete an AI interview and skills certification, followed by project selection and onboarding. Certification does not guarantee a project or immediate work.