Training Turk

Hospitalist Physician

$70–100/hr · micro1

A board-certified hospitalist who reviews medical documentation and inpatient records to improve AI training data quality.

What you would do

  • Review FHIR data, clinical notes, and structured patient records for data integrity and accuracy
  • Verify that documented medical information is supported by source records and clinical evidence
  • Examine History of Present Illness, Past Medical History, assessments, and treatment plans for completeness
  • Identify missing, contradictory, or unsupported information that would fail professional scrutiny
  • Document findings and provide specific feedback to help researchers improve AI model performance

Who they want

  • Medical degree (MD or DO) with board certification in Internal Medicine, Hospital Medicine, Pediatrics, or comparable specialty
  • Active or recent bedside hospitalist role in the past 24 months
  • Strong understanding of inpatient documentation requirements and hospital workflows
  • Prior experience with chart review, clinical documentation improvement, or medical coding appreciated
  • Attention to detail and ability to apply evaluation guidelines consistently across multiple cases

Main skills

FHIR RecordsHistory of Present IllnessPast Medical History

What the interview asks about

  1. 1.Detecting unsupported clinical claims

    AI systems learn to sound plausible rather than correct. You must catch assertions that lack supporting documentation or contradict the chart.

    For example: “A note claims severe hypotensionfrom sepsis, but vital signs show normal BP and no infection markers. How do you approach this discrepancy?”

  2. 2.Understanding hospitalist decision-making

    Inpatient care moves fast and involves complex reasoning across multiple services. Your feedback must reflect realistic clinical constraints.

    For example: “A patient presents with chest pain, and the documented plan is pain management without cardiology consult. Do you flag this as incomplete care or acknowledge context you're missing?”

  3. 3.Identifying contradictions systematically

    Inconsistency within records is a red flag. You need to trace where data disagrees and determine which source is authoritative.

    For example: “The admission note lists a medication allergy to penicillin, but the medication list includes an amoxicillin prescription filled last week. What's your assessment?”

  4. 4.Applying standards without bias

    You review dozens of cases with different teams and institutional styles. Consistent criteria prevent you from penalizing legitimate variation.

    For example: “Two different hospitals document Past Medical History in different detail levels. How do you evaluate both fairly against the same rubric?”

  5. 5.Translating judgment into written criteria

    AI researchers can't replicate tacit expertise. Your feedback must be specific enough for researchers to build better training signals.

    For example: “A clinical note about a complex patient interaction 'feels' incomplete to you. How do you pinpoint exactly what's missing for your written feedback?”

A task you may get

Review 2-3 anonymized inpatient records including FHIR data and clinical notes, documenting any accuracy issues, unsupported claims, or inconsistencies with written explanations.

How to prepare

  • Review 5-10 example inpatient records and practice identifying common documentation gaps or errors
  • Familiarize yourself with FHIR data structure and how it maps to clinical narratives
  • Reflect on your own documentation patterns and common shortcuts hospitalists use across settings
  • Discuss with colleagues examples of ambiguous or borderline documentation to calibrate judgment

The facts

Pay
$70–100/hr
Open to
Bangladesh, Hong Kong, India, Indonesia, Japan, Kazakhstan, Kyrgyzstan, Malaysia, Pakistan, Philippines, Singapore, Sri Lanka, Taiwan, Thailand, Uzbekistan, Vietnam, Austria, Belarus, Belgium, Denmark, France, Germany, Greece, Italy, Netherlands, Portugal, Russia, Spain, Switzerland, United Kingdom, Argentina, Brazil, Chile, Colombia, Mexico, Peru, Algeria, Bahrain, Egypt, Iraq, Jordan, Kuwait, Lebanon, Libya, Morocco, Oman, Palestine, Qatar, Saudi Arabia, Tunisia, United Arab Emirates, United States, Canada, Nigeria, Kenya, South Africa, Ghana, Ethiopia
Field
Medicine
Role type
Expert
Posted
8/18/2026
Places left
30

We wrote this page from the public micro1 listing. It may be out of date, so read the full posting before you apply.