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Salary
$340k – $380k per year
Location
Remote (United States)
Employment
Part-Time
Overview
Company
Impact
Profile match
Weekday is an Indian recruitment company that sources software engineers through referrals from other engineers rather than through job advertisements or agency databases. Its model pays working engineers to vouch for former colleagues they rate, turning informal knowledge about who is genuinely good into a searchable candidate pool that companies can hire from. Based in Bengaluru and backed by Y Combinator, the platform has layered AI screening and outbound sourcing on top of that referral network, and sells to startups and technology companies hiring in the Indian market.

This role is for one of our clients

Compensation: $170-$190 per hour

We are hiring practicing outpatient physicians (MD) on behalf of a healthcare AI partner building advanced clinical documentation and decision-support tools. In this role you will apply your day-to-day ambulatory expertise to review, annotate, and evaluate clinical documentation, directly shaping the accuracy, safety, and clinical usefulness of medical AI systems.

This role is open to any specialty, provided you are currently practicing in an outpatient or ambulatory setting and write clinical notes as part of your regular work. Endocrinology, infectious disease, dermatology, sports medicine, oncology, cardiology and other specialty outpatient practices all qualify.

This is a multilingual cohort. In addition to English, you must be able to speak, listen, and write in at least one other language at an advanced (C1) level or above.

Requirements

Key Responsibilities

Clinical Documentation Review

  • Review outpatient clinical notes, encounter summaries, and EHR documentation for accuracy, completeness, and clinical soundness
  • Evaluate AI-generated notes and summaries against what a practicing physician would actually document

Annotation & Structured Feedback

  • Annotate outpatient encounter data against detailed guidelines
  • Flag omissions, hallucinations, clinical inaccuracies, and documentation gaps in AI-generated output
  • Provide structured, written feedback that engineering and product teams can act on

Knowledge Contribution

  • Contribute expert input on annotation guidelines, documentation standards, and edge-case definitions
  • Raise clarifying questions where guidance is ambiguous and help refine the guidelines

Required Qualifications

  • MD or DO, currently practicing in an outpatient or ambulatory setting - any specialty
  • US-based
  • Direct experience writing clinical notes in an outpatient setting
  • In addition to English, advanced (C1 or above) proficiency - speaking, listening, and writing - in at least one of the following languages:
    • Czech · Catalan · Danish
    • Dutch · Vietnamese · Finnish
  • Minimum availability of 10 hours/week

Written proficiency carries real weight here: you will be reading clinical material and writing structured feedback, so please answer the language question accurately rather than optimistically.

Preferred Qualifications

  • 2+ years of clinical practice post-residency
  • Familiarity with Epic
  • Experience with clinical documentation quality review, note auditing, or CDI exposure
  • Prior AI/ML annotation or model evaluation work experience
  • Experience documenting patient care in a language other than English

Work Arrangement

  • Remote, part-time - minimum 10 hours/week
  • Flexible scheduling, designed around an active clinical practice

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

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