Health Policy & Management - AI Data Trainer
- Location: Remote
About The Job
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: 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 Problems: Design advanced public health scenarios involving disease outbreak simulations, health equity assessments, and statistical interpretation of clinical trials.
- Author Ground-Truth Solutions: Create rigorous, step-by-step responses that synthesize peer-reviewed research, epidemiological data, and current public health guidelines (e.g., CDC, WHO standards).
- Technical Auditing: Evaluate AI-generated health advice and policy recommendations for accuracy, bias, and adherence to ethical standards. You will identify "misinformation" or logical gaps in the AI's health reasoning.
- Refine Reasoning: Provide structured feedback to help the model distinguish between correlation and causation in health data and improve its ability to communicate risks to diverse populations.
Requirements
- Advanced Degree: Masters in Public Health (MPH), Master of Science in Public Health (MSPH), or a closely related graduate degree.
- Domain Expertise: Strong foundational knowledge in at least two core pillars: Epidemiology, Biostatistics, Environmental Health, or Health Policy.
- Analytical Writing: The ability to translate complex health data into clear, actionable, and culturally sensitive written information.
- Attention to Detail: High level of precision when checking statistical significance, data citations, and the logic of health interventions.
- No AI experience required
Preferred
- 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, or public health monitoring
Why Join Us
- Competitive pay and flexible remote work.
- Direct engagement with industry-leading LLMs.
- Contractor advantages: high agency, agility, and international reach.
- More opportunities for contracting renewals.
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Health Policy & Management employer: Alignerr
As a leading AI research partner, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to make a real difference in public health. With flexible hours and competitive pay, our Remote Health Policy & AI Content Specialist role offers unique opportunities for professional growth while contributing to meaningful projects that advance health equity. Join us to be part of a dynamic team dedicated to shaping the future of health information through cutting-edge AI technology.
