Remote MPH Health Policy AI Data Trainer

Alignerr Corp.; Melbourne; Remote; AUD 69,000 - 108,000; Part time

Job summary

Alignerr Corp. seeks Masters in Public Health graduates to train AI models for accurate health information and policy analysis. This remote hourly contract (10–40 hours/week) pays $35–$55/hour and offers flexible scheduling.

You will design advanced public health scenarios, synthesize peer-reviewed research, and audit AI health guidance for accuracy and ethics, helping models distinguish correlation from causation across diverse populations.

Qualifications

• Masters in Public Health required.
• Two core pillars: Epidemiology or Biostatistics or Environmental Health or Health Policy.
• Analytical writing ability to translate complex health data.
• Attention to detail in statistics, citations, and health interventions.
• No AI experience required.

Responsibilities

• 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.

Skills

Analytical writing

Epidemiology

Biostatistics

Health policy

Education

MPH/MSPH or related

Tools

R

SAS

Stata

Job description

Alignerr Corp. seeks Masters in Public Health graduates to train AI models for accurate health information and policy analysis. This remote hourly contract (10–40 hours/week) pays $35–$55/hour and offers flexible scheduling.

You will design advanced public health scenarios, synthesize peer-reviewed research, and audit AI health guidance for accuracy and ethics, helping models distinguish correlation from causation across diverse populations.