Medical Content Quality Reviewer – AI Project (NOA)

Italy Posted Nov 11, 2025 0 views

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Job description

Descrizione dell'azienda

MioDottore part of the global DocPlanner Group is leading an ambitious AI-driven project in the medical field called NOA . Our goal is to support doctors by generating accurate and structured medical documentation through artificial intelligence.

To help us ensure the quality of this AI-generated content we are looking for a Medical Content Quality Reviewer . You will play a key role in reviewing and refining medical facts extracted from anonymized recordings of real consultations.

Descrizione del lavoro

Your Responsibilities

  • Access our web-based tool where you’ll find a list of AI-generated medical facts and links to anonymized audio recordings of medical consultations (in Italian).

  • Listen carefully to the recordings to understand the clinical context including symptoms diagnoses treatments prescriptions and other relevant details.

  • Review and correct the AI-generated medical facts:

    • Confirm correct and relevant information.

    • Flag or remove any facts that are irrelevant incorrect or not inferable from the audio.

    • Add any missing facts that are clinically important but not captured by the AI.

    • Correct any errors inconsistencies or formatting issues according to Electronic Health Record (EHR) best practices.

  • Ensure clarity precision and proper formatting of all content.

  • Use the comment section to document any uncertainty or inaudible content.

Qualifiche

Requirements

  • Current student of Medicine and Surgery (Medicina e Chirurgia) from the 4th year onward.

  • Familiarity with clinical language and medical documentation standards (e.g. EHR structure).

  • Attention to detail and ability to assess the accuracy of medical information.

  • English proficiency (the tool interface and documentation may be in English).

Ulteriori informazioni

What We Offer

  • Freelance collaboration fully remote.

  • Flexible working hours with a total workload of approximately 60 hours.

  • Involvement in a cutting-edge AI project in the healthcare sector.

  • Access to a dedicated user-friendly web platform and training materials.

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