Appsierra
From Appsierra's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
You will review AI-generated medical content, assess clinical recommendations, and provide evidence-based feedback to improve accuracy and clinical reasoning.
We are seeking experienced Preventive Cardiologists to support AI training and evaluation projects focused on cardiovascular risk assessment, preventive medicine, and long-term heart health. You will review AI-generated medical content, assess clinical recommendations, and provide evidence-based feedback to improve accuracy and clinical reasoning.
Review AI-generated content related to cardiovascular prevention and risk reduction.
Evaluate clinical scenarios involving hypertension, dyslipidemia, atherosclerosis, and cardiovascular risk factors.
Assess the accuracy of risk assessments and preventive treatment recommendations.
Provide evidence-based feedback to improve AI-generated clinical reasoning and medical content.
Required Qualifications
MD, DO, or internationally equivalent medical degree.
Board certification in Cardiology or equivalent specialist qualification.
Active or recent clinical experience involving preventive cardiology.
Strong knowledge of cardiovascular risk assessment, preventive treatment strategies, and evidence-based guidelines.
English proficiency at B2 level or above.
Specialized experience in preventive cardiology, lipidology, or cardiovascular risk management.
Background in clinical research, medical AI evaluation, data annotation, or Reinforcement Learning from Human Feedback (RLHF).
Selection Process
Application
AI interview
Domain-specific screening
Onboarding call
Prior AI experience is not required.
Annualized compensation is calculated using 2,080 hours per year. Actual earnings will depend on project availability and hours worked.
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