Remote MPH Health Policy AI Data Trainer

Alignerr Corp.; France; Remote; EUR 43,000 - 68,000; Part time

Benefits offered by this job

Competitive pay and flexible remote

Direct engagement with industry‑lead L

Contractor advantages: high agency and

More renewal opportunities

Job summary

Alignerr Corp. is seeking MPH graduates to train AI models on public health data, policy analysis, and health equity. You will design complex health scenarios, validate outputs against peer-reviewed guidelines, and help ensure ethical health guidance.

This fully remote hourly contract offers flexible 10–40 hours/week, with competitive pay between $35 and $55 per hour, and opportunity to work with leading AI teams on high-impact health projects.

Qualifications

• MPH/MSPH or related advanced degree.
• Expertise in at least two core pillars (epi, biostatistics, env health, health policy).
• Analytical writing: translate health data into clear info.
• High attention to statistical and data-citation detail.
• No prior AI experience required.

Responsibilities

• Develop complex public health scenarios (outbreaks, health equity, trial interpretation).
• Author ground-truth solutions from peer-reviewed data and guidelines (CDC/WHO).
• Technically audit AI health advice for accuracy and bias.
• Provide feedback to improve model reasoning and risk communication.

Education

Masters in Public Health (MPH)

Master of Science in Public Health (MSPH)

Two core pillars: Epidemiology / Biostatistics / Environmental Health / Health Policy

Analytical writing

Attention to detail

No AI experience required

Tools

R

SAS

Stata

Job description

Alignerr Corp. is seeking MPH graduates to train AI models on public health data, policy analysis, and health equity. You will design complex health scenarios, validate outputs against peer-reviewed guidelines, and help ensure ethical health guidance.

This fully remote hourly contract offers flexible 10–40 hours/week, with competitive pay between $35 and $55 per hour, and opportunity to work with leading AI teams on high-impact health projects.