Health Policy & Management

Alignerr Corp.; Sydney; Remote; AUD 48,000 - 76,000; Part time

Benefits offered by this job

Flexible remote work

International contractor network

Job summary

Alignerr is seeking MPH/MSPH graduates for a Remote Health Policy & Management - AI Data Trainer role. You will design complex public health scenarios, craft rigorous ground-truth solutions, audit AI health outputs for accuracy and ethics, and refine model reasoning to improve communication of health risks.

The contractor position offers hourly pay of 35–55 AUD with flexible weekly hours and the option to work remotely for 10–40 hours per week.

Qualifications

• Advanced degree in public health (MPH/MSPH or equivalent).
• Strong foundation in at least two core pillars of public health.

Responsibilities

• Design advanced public health scenarios including outbreak simulations.
• Create step-by-step ground-truth solutions from peer-reviewed sources.
• Audit AI health advice for accuracy, bias and ethics.
• Provide feedback to improve risk communication across populations.

Skills

Epidemiology

Biostatistics

Environmental Health

Health Policy

Education

MPH/MSPH

Tools

R

SAS

Stata

Job description

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.