Health Policy & Management

Health Policy & Management — AI Data Trainer About The Role Your public health expertise is more valuable than ever — not just in clinics or government agencies, but at the frontier of artificial intelligence. Alignerr partners with the world's leading AI research labs to build smarter, safer AI models, and we need credentialed public health professionals to help get it right. As a Health Policy & Management AI Data Trainer, you'll use your graduate‑level knowledge to challenge, evaluate, and refine how AI understands population health, epidemiology, biostatistics, and health policy. This is a fully remote, flexible contract role that lets you do meaningful, high‑impact work entirely on your own schedule. What You'll Do Design Complex Public Health Scenarios — Create advanced, realistic challenges involving disease outbreak simulations, health equity assessments, and statistical interpretation of clinical trials to rigorously test AI reasoning Author Ground-Truth Solutions — Develop detailed, step-by-step responses grounded in peer-reviewed research, epidemiological data, and guidelines from authoritative bodies such as the CDC and WHO Audit AI Outputs — Evaluate AI-generated health advice and policy recommendations for factual accuracy, ethical alignment, and potential bias — identifying misinformation, flawed logic, or gaps in reasoning Refine AI Reasoning — Provide structured, expert feedback that helps AI models distinguish correlation from causation, communicate health risks clearly, and serve diverse populations equitably Uphold Scientific Standards — Ensure AI responses reflect current scientific consensus and adhere to established ethical health guidelines Who You Are Hold 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 Detail-oriented when reviewing statistical significance, data citations, and the logic of health interventions Self-motivated, reliable, and comfortable working independently and asynchronously No prior AI experience required Nice to Have Experience with data annotation, quality assessment, or evaluation systems Proficiency in data analysis tools such as R, SAS, or Stata Background in health communication, clinical research coordination, or public health surveillance Why Join Us Work directly with cutting-edge Large Language Models at the forefront of AI development Fully remote and asynchronous — work when and where it suits you Flexible weekly commitment of 10–40 hours to fit around your existing schedule Freelance contractor advantages: high autonomy, variety, and global reach Contribute to work that genuinely matters — making AI safer and more accurate in high-stakes health domains Potential for ongoing contract renewals and expanded project opportunities #J-18808-Ljbffr