Apply public health expertise to AI training as a fully remote Data Trainer, using epidemiology and health policy knowledge flexibly.
Alignerr seeks Masters in Public Health professionals to train AI models on population health, health equity, biostatistics, and evidence-based policy. You will create complex scenarios, write research-grounded solutions, audit outputs, and improve AI reasoning for diverse populations. No prior AI experience is required.
Key Responsibilities: Design disease outbreak and health equity scenarios
Analyze epidemiological and clinical trial data
Author step-by-step, evidence-based responses
Audit AI advice for accuracy, bias, and ethics
Provide structured feedback on health reasoning
Requirements: Master of Public Health or related graduate degree
Knowledge of epidemiology, biostatistics, environmental health, or policy
Clear, accurate, culturally sensitive health writing
Solid attention to statistical claims and citations
Comfort working independently and asynchronously
Use public health analysis, evidence-based writing, and careful evaluation to help Alignerr improve AI health reasoning remotely.

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📌 Public Health AI Data Trainer (Alberta)
🏢 Alignerr
📍 Alberta