micro1
Preventive Cardiologist
- Где
- Удалённо, весь мир
- Зарплата
- $80–285 в час
- Уровень
- Middle
- Занятость
- Контракт
- Направление
- Медицина и уход
- Опубликовано
- 4 дн назад
Коротко о вакансии
micro1 is looking for experienced Preventive Cardiologists to contribute their expertise to AI training and evaluation projects focused on cardiovascular risk assessment, preventive medicine, and long-term cardiovascular health management.
Кто может откликнуться
В поле «локация» указано: Worldwide
(Himalayas)
Описание вакансии
Описание на английском: работодатель ждёт отклик на английском.
Preventive Cardiologist – AI Trainer
Location: Remote
Employment Type: Independent Contractor | Hourly
Compensation: $80–$285/hour, depending on qualifications and experience
Language: English B2 or above
About the Role
micro1 is looking for experienced Preventive Cardiologists to contribute their expertise to AI training and evaluation projects focused on cardiovascular risk assessment, preventive medicine, and long-term cardiovascular health management.
Key Responsibilities
- Review AI-generated medical information related to cardiovascular prevention and risk reduction.
- Evaluate clinical scenarios involving hypertension, dyslipidemia, atherosclerosis, and cardiovascular risk factors.
- Assess the accuracy of preventive treatment recommendations and cardiovascular risk assessments.
- Provide evidence-based feedback to improve AI-generated clinical reasoning and medical content.
Requirements
- MD, DO, or internationally equivalent medical degree.
- Board certification in cardiology or equivalent specialist qualification.
- Active or recent clinical practice involving preventive cardiology.
- Strong understanding of cardiovascular risk assessment, preventive treatment strategies, and evidence-based guidelines.
- English proficiency at B2 level or above.
Preferred Qualifications
- Specialized experience in preventive cardiology, lipidology, or cardiovascular risk management.
- Experience in clinical research, medical AI evaluation, data annotation, or RLHF.
Selection Process
- Application
- AI Interview
- Domain-Specific Screening
- Onboarding Call
- Prior AI experience is not required.
Originally posted on Himalayas
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