Alignerr
Health Policy & Management
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Health Policy & Management
Health Policy & Management - AI Data Trainer
Location: Remote
About The Role
At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models.
We are seeking Masters in Public Health (MPH) graduates to help train AI models to provide accurate, evidence-based health information and policy analysis. You will challenge Large Language Models on their understanding of population health, biostatistics, and global health equity—ensuring that the models prioritize scientific consensus and ethical health guidelines. Work on high-impact projects while earning $35+/hour, fully remote, with flexible weekly hours.
Organization & Position Details
- Organization: Alignerr
- Position: Health Policy & Management - AI Data Trainer
- Type: Hourly Contract
- Compensation: $35–$55/hour
- Location: Remote
- Commitment: 10–40 hours/week
What You’ll Do
Develop Complex Public Health Scenarios involving:
- Disease outbreak simulations
- Health equity assessments
- Statistical interpretation of clinical trials
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Author Ground-Truth Solutions:
- Create rigorous, step-by-step responses that synthesize:
- Peer-reviewed research
- Epidemiological data
- Current public health guidelines (e.g., CDC, WHO standards)
Technical Auditing:
- Evaluate AI-generated health advice and policy recommendations for:
- Accuracy
- Bias
- Adherence to ethical standards
- Identify "misinformation" or logical gaps in the AI’s health reasoning
Refine AI Reasoning:
- Provide structured feedback to improve the model’s ability to:
- Distinguish between correlation and causation in health data
- Communicate risks to diverse populations
Requirements
Essential
- Advanced Degree: Masters in Public Health (MPH), Master of Science in Public Health (MSPH), or closely related graduate degree
- Domain Expertise: Strong knowledge of at least two core pillars:
- Epidemiology
- Biostatistics
- Environmental Health
- Health Policy
- Analytical Writing: Ability to translate complex health data into clear, actionable, and culturally sensitive written information
- Attention to Detail: High precision when checking:
- Statistical significance
- Data citations
- Logic of health interventions
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Preferred (Not Required)
- Prior experience with data annotation, data quality, or evaluation systems
- Experience with data analysis software such as R, SAS, or Stata
- Prior experience in:
- Health communication
- Clinical research coordination
- Public health monitoring
Why Join Alignerr?
- Competitive pay with flexible remote work
- Direct engagement with industry-leading LLMs
- Contractor advantages:
- High agency & agility
- International reach
- More opportunities for contracting renewals
Application Process (~15–20 min)
- Submit your resume
- Complete a short screening
- Project matching & onboarding
Note: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
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