Senior Machine Learning Expert (AI Training) About the Role What if your deep knowledge of machine learning could directly shape how the world's most advanced AI systems reason, plan, and make decisions?
Health Policy & Management - AI Content Specialist
Job description
Health Policy & Management — AI Content Specialist
About the Role
Your public health expertise is more valuable than ever — and not just in traditional settings. At Alignerr, we partner with the world's leading AI research labs to build smarter, safer, and more accurate AI models. We're looking for Masters-level public health professionals to help train and evaluate large language models (LLMs) on complex health policy, epidemiology, and population health topics.
This is a rare opportunity to apply your graduate-level knowledge in a cutting-edge AI context, work entirely on your own schedule, and make a direct impact on how AI communicates health information to the world.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design Complex Public Health Scenarios — Create advanced prompts and case studies involving disease outbreak simulations, health equity assessments, social determinants of health, and statistical interpretation of clinical trial data.
- Author Ground-Truth Solutions — Write rigorous, step-by-step model responses that synthesize peer-reviewed research, epidemiological evidence, and current public health guidelines (CDC, WHO, and other authoritative sources).
- Audit AI-Generated Health Content — Evaluate AI outputs for accuracy, bias, logical consistency, and adherence to ethical health communication standards. Identify misinformation, unsupported claims, and gaps in reasoning.
- Sharpen AI Reasoning — Provide structured, expert feedback that helps models distinguish correlation from causation, communicate health risks clearly, and adapt messaging for diverse populations.
Who You Are
- Hold a Master of Public Health (MPH), Master of Science in Public Health (MSPH), or a closely related graduate degree
- Have strong foundational knowledge in at least two areas: Epidemiology, Biostatistics, Environmental Health, or Health Policy
- Can translate complex health data into clear, accurate, and culturally sensitive written communication
- Are detail-oriented — comfortable checking statistical significance, evaluating data citations, and assessing the logic of health interventions
- No prior AI experience required — your domain expertise is what matters
Nice to Have
- Experience with data annotation, quality evaluation, or research coordination
- Proficiency with data analysis tools such as R, SAS, or Stata
- Background in health communication, clinical research, or public health surveillance
- Familiarity with AI systems or content evaluation workflows
Why Join Us
- Work directly with industry-leading LLMs on high-impact AI training projects
- Fully remote and async — work whenever and wherever suits you
- Freelance autonomy with flexibility to scale hours up or down
- Contribute to meaningful work that shapes how AI handles public health information
- Potential for ongoing contracts and long-term collaboration
Compensation by region
Pay varies by where you're based. Each region below is open to applicants in that country only.
Available in 9 regions: pick your country on click.