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.

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📌 Health Policy AI Model Evaluator (Quebec City)
🏢 Alignerr
📍 Quebec City