Health Policy & Management

Denver

**Health Policy \& Management - AI Data Trainer** * Location: Remote **About The Job** At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models. We are seeking Masters in Public Health (MPH) graduates to help train AI models to provide accurate, evidence-based health information and policy analysis. You will challenge Large Language Models on their understanding of population health, biostatistics, and global health equity---ensuring that the models prioritize scientific consensus and ethical health guidelines. Work on high-impact projects while earning $35 /hour, fully remote, with flexible weekly hours. **Organization** : Alignerr **Position** : Health Policy \& Management - AI Data Trainer **Type** : Hourly Contract **Compensation** : $35--$55 /hour **Location** : Remote **Commitment** : 10--40 hours/week **What You'll Do** * Develop Complex Problems: Design advanced public health scenarios involving disease outbreak simulations, health equity assessments, and statistical interpretation of clinical trials. * Author Ground-Truth Solutions: Create rigorous, step-by-step responses that synthesize peer-reviewed research, epidemiological data, and current public health guidelines (e.g., CDC, WHO standards). * Technical Auditing: Evaluate AI-generated health advice and policy recommendations for accuracy, bias, and adherence to ethical standards. You will identify "misinformation" or logical gaps in the AI's health reasoning. * Refine Reasoning: Provide structured feedback to help the model distinguish between correlation and causation in health data and improve its ability to communicate risks to diverse populations. **Requirements** * Advanced Degree: Masters in Public Health (MPH), Master of Science in Public Health (MSPH), or a closely related graduate degree. * Domain Expertise: Strong foundational knowledge in at least two core pillars: Epidemiology, Biostatistics, Environmental Health, or Health Policy. * Analytical Writing: The ability to translate complex health data into clear, actionable, and culturally sensitive written information. * Attention to Detail: High level of precision when checking statistical significance, data citations, and the logic of health interventions. * No AI experience required **Preferred** * Prior experience with data annotation, data quality, or evaluation systems * Experience with data analysis software such as R, SAS, or Stata. * Prior experience in health communication, clinical research coordination, or public health monitoring **Why Join Us** * Competitive pay and flexible remote work. * Direct engagement with industry-leading LLMs. * Contractor advantages: high agency, agility, and international reach. * More opportunities for contracting renewals. **Application Process (Takes 15-20 min)** * Submit your resume * Complete a short screening * Project matching and onboarding *PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.*