Internal Medicine Documentation Reviewer

You will review inpatient adult medicine records used to train and evaluate AI systems. The work includes reviewing FHIR data, a standardized format for medical-record information, along with clinical notes.

You will assess whether clinical claims are supported by the underlying record and identify missing, incorrect, or inconsistent details. Your reviews will help improve documentation quality, clinical accuracy, and model performance.

• Review histories of present illness, past medical histories, medication reconciliations, social histories, assessments, and care plans.
• Check clinical information and claims against the medical record.
• Evaluate renal- and hepatic-adjusted dosing, medication interactions, and age-appropriate clinical details.
• Apply review guidelines consistently and provide feedback on documentation and data quality.
• Review admission, daily progress, transitions-of-care, and discharge documentation.

This is a part-time contractor role for an experienced Internal Medicine clinician. The work requires careful, consistent judgment when applying clinical and documentation quality standards.

• Pay: $80 to $115 per hour.
• Work type: Part-time contract work.
• Language: Fluent in English.
• Education: MD or DO degree.
• Certification: Board certification in Internal Medicine.
• Experience: At least five years of hospitalist experience.
• Practice history: Current or recent inpatient hospitalist practice within the past two years.
• Skills: Comfort reviewing clinical notes and raw medical-record data.
• Helpful experience: Chart review, clinical documentation improvement, utilization review, medical coding, or medical quality assurance.
• Open to candidates in: AE, AR, AT, BD, BE, BH, BR, CA, CH, CL, CO, DE, DK, DZ, EG, ES, FR, GB, GH, GR, ID, IN, IT, JO, JP, KE, KG, KW, KZ, LB, LK, MA, MX, MY, NG, NL, OM, PE, PH, PK, PS, PT, QA, SA, SG, TH, TN, TW, US, UZ, VN, and ZA.

You apply here in about two minutes and finish on the hiring platform. The next step is a short AI interview (technical roles include a coding challenge). Passing it is how you qualify for paid tasks, so take it soon after you are invited.

AI training is the human work behind artificial intelligence, including reviewing records, labeling information, and evaluating model outputs. Experienced medical professionals are needed when the work depends on clinical judgment and accurate interpretation of specialized data.