Health Policy & Management

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.