Health Policy & Management
Posted Today by Alignerr
Negotiable
Undetermined
Remote
London, England, United Kingdom
Summary: The Health Policy & Management AI Data Trainer role at Alignerr seeks Masters in Public Health (MPH) professionals to train and evaluate AI models on complex health topics. This fully remote contractor position allows for flexible scheduling and involves designing health scenarios, authoring responses, auditing AI health reasoning, and refining model understanding. The role emphasizes the application of public health expertise to enhance AI's comprehension of population health and evidence-based policy.
Key Responsibilities:
- Design Complex Health Scenarios involving disease outbreak simulations and health equity assessments.
- Author Ground-Truth Responses based on peer-reviewed research and current guidelines.
- Audit AI Health Reasoning for accuracy and adherence to ethical standards.
- Identify misinformation, bias, and gaps in AI reasoning.
- Refine Model Understanding through structured feedback on AI communication and risk assessment.
Key Skills:
- Masters in Public Health (MPH), MSPH, or related graduate degree.
- Strong knowledge in Epidemiology, Biostatistics, Environmental Health, or Health Policy.
- Ability to translate complex health data into clear written communication.
- High attention to detail regarding statistical significance and data citations.
- Self-motivated and reliable, comfortable working independently.
- Experience with data annotation or research coordination (nice to have).
- Proficiency in data analysis tools such as R, SAS, or Stata (nice to have).
- Background in health communication or clinical research (nice to have).
Salary (Rate): £35.00/hr
City: London
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
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) professionals to help train and evaluate cutting-edge AI models on some of the most complex and consequential health topics in the world. At Alignerr, we partner with the world's leading AI research labs to build smarter, safer, and more accurate AI systems. As a Health Policy & Management AI Data Trainer, you'll use your domain knowledge to challenge, evaluate, and refine how AI understands population health, epidemiology, health equity, and evidence-based policy — work that has real-world impact at scale. This is a fully remote, flexible contractor role. You set your schedule.
What You'll Do
- Design Complex Health Scenarios — Create advanced public health problems involving disease outbreak simulations, health equity assessments, and statistical interpretation of clinical trials and epidemiological data.
- Author Ground-Truth Responses — Write rigorous, step-by-step solutions grounded in peer-reviewed research, biostatistical methods, and current guidelines from authoritative bodies like the CDC and WHO.
- Audit AI Health Reasoning — Evaluate AI-generated health advice and policy recommendations for accuracy, logical consistency, and adherence to ethical standards. Identify misinformation, bias, and gaps in reasoning.
- Refine Model Understanding — Provide structured feedback that helps AI distinguish correlation from causation, communicate risk effectively, and respond with cultural sensitivity across diverse populations.
Who You Are
- Holds 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
- Able to translate complex health data into clear, accurate, and culturally sensitive written communication
- High attention to detail — especially around statistical significance, data citations, and intervention logic
- Self-motivated, reliable, and comfortable working independently
- 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 monitoring
Why Join Us
- Fully remote — work from anywhere, on your schedule
- Flexible commitment — 10 to 40 hours per week, you choose
- High-impact work — directly shape how AI handles real-world health information
- Cutting-edge projects — collaborate with leading AI research teams and labs
- Freelance autonomy — contractor flexibility with meaningful, substantive work
- Ongoing opportunities — strong performers are considered for continued and expanded contracts