Health Policy & Management

Alignerr Corp.; Birmingham; Remote; GBP 34,000 - 62,000; Part time

Benefits offered by this job

Freelance autonomy

Fully remote work

Job summary

Alignerr is seeking a Health Policy & Management AI Data Trainer. This remote, hourly contract role values Masters in Public Health, epidemiology, biostatistics, and health policy expertise to train AI models on health information accuracy.

You'll design complex health scenarios, author evidence-based solutions, and audit AI outputs, shaping how AI communicates health policy worldwide. Flexible schedule, 10–40 hours per week, remote work.

Qualifications

• Masters in Public Health (MPH) or closely related graduate degree.
• Two of: Epidemiology, Biostatistics, Environmental Health, or Health Policy.
• Ability to translate health data into clear written content.

Responsibilities

• Design complex public health scenarios to train AI reasoning.
• Author evidence-based ground-truth solutions from peer-reviewed sources.
• Audit AI outputs for accuracy, bias and ethical considerations.
• Provide feedback to improve AI reasoning on health messaging.

Skills

Public health

Epidemiology

Biostatistics

Health policy

Written communication

Education

MPH

Related graduate degree

Tools

R

SAS

Stata

Job description

Health Policy & Management — AI Data Trainer

About The Role

Your public health expertise is more valuable than ever — and not just in traditional settings. We're looking for Masters in Public Health (MPH) graduates to help train and evaluate cutting-edge AI models on health policy, epidemiology, and evidence-based medicine. Your work will directly shape how AI communicates health information to the world.

This is a fully remote, flexible contract role working alongside leading AI research labs. No prior AI experience needed — just deep domain knowledge and a commitment to accuracy.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Design Complex Public Health Scenarios — Create advanced case studies involving disease outbreak simulations, health equity assessments, and statistical interpretation of clinical trials to challenge and train AI reasoning
• Author Ground-Truth Solutions — Develop rigorous, evidence-based responses that synthesize peer-reviewed research, epidemiological data, and current guidelines from authoritative sources like the CDC and WHO
• Audit AI Outputs — Evaluate AI-generated health advice and policy recommendations for accuracy, bias, and ethical soundness — identifying misinformation and logical gaps in the model's reasoning
• Refine AI Reasoning — Provide structured feedback that helps AI distinguish correlation from causation, communicate risk clearly, and tailor health messaging for diverse populations

Who You Are

• Holder of a Masters in Public Health (MPH), MSPH, or closely related graduate degree
• Strong foundational knowledge in at least two of: Epidemiology, Biostatistics, Environmental Health, or Health Policy
• Skilled at translating complex health data into clear, actionable, and culturally sensitive written content
• Detail-oriented — precise when evaluating statistical significance, data citations, and the logic of health interventions
• No prior AI experience required

Nice to Have

• Experience with data annotation, quality evaluation, or research coordination
• Proficiency in data analysis tools such as R, SAS, or Stata
• Background in health communication, clinical research, or public health surveillance

Why Join Us

• Work on meaningful, high-impact AI projects with top-tier research labs
• Fully remote and flexible — work on your schedule, 10 to 40 hours per week
• Freelance advantages: autonomy, variety, and the ability to work from anywhere
• Contribute directly to ensuring AI systems provide safe, accurate, and equitable health information
• Potential for ongoing contract renewals and expanded project opportunities