5 дней назад
Clinical Data Annotator (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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