Remote MPH AI Data Trainer: Health Policy & Equity

Alignerr Corp.; Oxford; Remote; GBP 36,000 - 57,000; Part time

Benefits offered by this job

Flexible remote work

International contractor reach

Job summary

Alignerr is seeking MPH graduates to train AI models for accurate health information and policy analysis. This remote role offers 10-40 hours per week at $35–$55 per hour, with flexible scheduling.

You will develop complex public health scenarios and synthesize peer-reviewed research and guidelines (CDC, WHO) to challenge AI reasoning. Responsibilities include technical auditing of health guidance, identifying misinformation, and refining explanations to communicate risks to diverse populations.

Qualifications

• Masters in Public Health or closely related graduate degree.
• Strong foundation in epidemiology or biostatistics or health policy.
• Ability to translate health data into clear, actionable information.

Responsibilities

• Design advanced public health scenarios and disease outbreak simulations.
• Create rigorous step-by-step ground-truth solutions from research data.
• Audit AI-generated health advice for accuracy and bias against ethics.
• Provide structured feedback to improve risk communication to diverse populations.

Skills

Analytical writing

Attention to detail

Public health knowledge

Critical thinking

Communication skills

Education

Master of Public Health (MPH)

MSPH or related graduate degree

Related graduate degree

Tools

R

SAS

Stata

Job description

Alignerr is seeking MPH graduates to train AI models for accurate health information and policy analysis. This remote role offers 10-40 hours per week at $35–$55 per hour, with flexible scheduling.

You will develop complex public health scenarios and synthesize peer-reviewed research and guidelines (CDC, WHO) to challenge AI reasoning. Responsibilities include technical auditing of health guidance, identifying misinformation, and refining explanations to communicate risks to diverse populations.