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5 дней назад

Clinical Data Annotator (AI)

Формат работы
remote (только USA)
Тип работы
project
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Clinical Data Annotator (AI): Reviewing and structuring de-identified ICU records for a sepsis-focused clinical data annotation project with an accent on medical terminology, EHR interpretation, and consistent guideline-based annotation. Focus on identifying complex clinical information, normalizing healthcare concepts, and improving data quality for healthcare technology and AI applications.

Location: Remote, United States

Company

hirify.global combines data technology with a global network of experts to make data usable and inference reliable for AI applications.

What you will do

  • Review de-identified ICU clinical notes and EHR data related to sepsis.
  • Interpret and annotate medical information using established clinical guidelines.
  • Normalize clinical terminology, concepts, and patient-record information.
  • Identify and categorize relevant clinical data with a high level of accuracy and consistency.
  • Participate in quality assurance and feedback processes to improve annotation quality.

Requirements

  • Current, active US-credentialed RN, NP, or PA credential.
  • Strong knowledge of clinical terminology and medical documentation.
  • Ability to accurately interpret complex clinical notes and EHR information.
  • Strong attention to detail, written communication, and ability to follow structured guidelines independently.
  • Availability for approximately 25–40 hours per week.
  • Remote work must be performed from the United States.

Nice to have

  • Critical care, ICU, emergency medicine, or other acute-care experience.
  • Experience with sepsis patients or other acute-care conditions.
  • Experience with clinical research, medical data annotation, clinical informatics, healthcare AI, or EHR documentation.

Culture & Benefits

  • Independent contractor engagement for an approximately three-month project.
  • Remote work with a commitment of 25–40 hours per week.
  • Required training and certification through PhysioNet before project work begins.
  • Opportunity to apply clinical expertise outside traditional patient care and support healthcare AI development.

Hiring process

  • Selected candidates complete a required training program expected to take less than one day.
  • Project work begins after successful completion of the training and PhysioNet certification.
  • Expected start date: September 15, 2026.

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