Public Health AI Data Trainer
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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
- Strong 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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