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 Robust 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.

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