AI Content Specialist
Alignerr
About the Role
Alignerr partners with leading AI research labs to build models for health information, policy guidance, and epidemiological insight. This is a fully remote, flexible hourly contract role requiring Masters in Public Health (MPH) professionals.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
Key Responsibilities
- Design Complex Public Health Scenarios — Create advanced prompts and cases involving disease outbreak simulations, health equity assessments, and statistical interpretation of clinical trial data.
- Author Ground-Truth Responses — Write rigorous, step-by-step solutions grounded in peer-reviewed research, epidemiological data, and authoritative guidelines (e.g., CDC, WHO).
- Audit AI Outputs — Evaluate AI-generated health advice and policy recommendations for factual accuracy, logical consistency, bias, and adherence to ethical standards.
- Refine Model Reasoning — Provide structured feedback to help AI distinguish correlation from causation, communicate risk appropriately, and adapt messaging for diverse populations.
Requirements & Tech Stack
- Graduate degree in Public Health (MPH, MSPH) or a closely related field.
- Strong foundational knowledge in at least two core areas: Epidemiology, Biostatistics, Environmental Health, or Health Policy.
- Ability to translate complex health data into clear, accurate, and culturally sensitive written content.
- High attention to detail, especially around statistical significance, data citations, and intervention logic.
- No prior AI experience required.
Nice To Have
- Experience with data annotation, quality assurance, or evaluation workflows.
- Proficiency with data analysis tools such as R, SAS, or Stata.
- Background in health communication, clinical research coordination, or public health surveillance.
Why Join Us
- Work on meaningful projects at the frontier of AI development.
- Fully remote and asynchronous — work on your own schedule.
- Freelance flexibility with real intellectual challenge.
- Direct engagement with industry-leading language models.
- Potential for ongoing contract renewals and expanded projects.
- Be part of a global network of subject-matter experts shaping how AI handles high-stakes health topics.