Remote MPH Health Policy & AI Data Trainer

Alignerr Corp.; Manchester; Remote; GBP 34,000 - 83,000; Part time

Benefits offered by this job

Autonomy

Variety of work

Global collaboration

Job summary

Alignerr is seeking an MPH-credentialed AI Data Trainer to work remotely on a flexible, hourly contract. Your public health expertise will guide AI reasoning about population health, with no prior AI experience required. You will design advanced scenarios, author grounded solutions, and audit AI outputs for accuracy and bias.

The role emphasizes health equity, epidemiology, and policy interpretation, enabling global collaboration on cutting-edge health AI projects. 10–40 hours per week, remote.

Qualifications

• MPH/MSPH or closely related graduate degree required.
• Foundational knowledge in at least two areas among Epidemiology, Biostatistics, Environmental Health, or Health Policy.
• Ability to translate complex health data into clear content.
• Precise and detail-oriented evaluation of data, citations, and reasoning.

Responsibilities

• Design complex public health scenarios including disease outbreak simulations and health equity assessments.
• Author ground-truth solutions by synthesizing peer-reviewed research and guidelines (CDC/WHO).
• Audit AI outputs for accuracy, bias, and ethical compliance; identify misinformation and gaps in reasoning.
• Refine AI reasoning to distinguish correlation from causation and tailor health risk communication to diverse populations.

Skills

Epidemiology

Biostatistics

Health Policy

Health Equity

Education

Masters in Public Health (MPH) / MSPH

Tools

R

SAS

Stata

Job description

Alignerr is seeking an MPH-credentialed AI Data Trainer to work remotely on a flexible, hourly contract. Your public health expertise will guide AI reasoning about population health, with no prior AI experience required. You will design advanced scenarios, author grounded solutions, and audit AI outputs for accuracy and bias.

The role emphasizes health equity, epidemiology, and policy interpretation, enabling global collaboration on cutting-edge health AI projects. 10–40 hours per week, remote.