Evaluate AI-generated health advice remotely for factual accuracy, bias, and ethical reasoning using health policy expertise. Alignerr is seeking graduate-trained public health professionals for AI data training focused on population health and evidence-based policy. The work includes reviewing policy recommendations, checking statistical claims, interpreting research, and strengthening responses for diverse communities. Adaptable scheduling supports independent, asynchronous work.

Key Responsibilities
Review AI-generated health advice and policy recommendations Check factual accuracy and logical consistency Identify misinformation, bias, and flawed reasoning Assess adherence to ethical standards Clarify correlation, causation, and health risks

Requirements:
MPH, MSPH, or closely related graduate degree Foundation in at least two public health disciplines Ability to explain complex health data clearly Careful evaluation of intervention logic and citations Self-directed approach to asynchronous work Bring health policy judgment, statistical attention, and culturally sensitive communication to Alignerr's remote AI evaluation work. #J-18808-Ljbffr

📌 Health Policy AI Model Evaluator (Ottawa)
🏢 Alignerr
📍 Ottawa