Population Health Informaticist

Original job posting

Evaluate and provide structured feedback on AI-generated population health analyses and reporting frameworks. Translate domain expertise into actionable insights to improve how AI systems reason about complex health data.

Job details

Population Health Informaticist (AI Training) About The Role We're partnering with leading AI research teams to build smarter, more accurate AI models in the healthcare and public health space — and we need your expertise to make it happen. As a Population Health Informaticist, you'll apply your knowledge of large-scale health data, analytics, and public health informatics to help evaluate, improve, and train AI systems. Your insights will directly shape how AI understands and reasons about population-level health challenges. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Evaluate AI-generated analyses of population health data for accuracy, completeness, and clinical relevance Review and provide structured feedback on AI outputs related to health trends, disparities, and epidemiological insights Assess the quality of AI-designed dashboards, data pipelines, and reporting frameworks against real-world public health standards Identify gaps, errors, or missed opportunities in AI-generated population health strategies and recommendations Translate your domain expertise into clear, actionable feedback that helps AI systems reason more effectively about complex health data Who You Are Experienced working with healthcare, public health, or population-level datasets Skilled in data analysis and visualization, including dashboards and reporting tools Able to critically evaluate complex health information and communicate findings clearly Comfortable working independently and asynchronously on task-based assignments Detail-oriented, systematic, and passionate about health outcomes at scale Nice to Have Experience with epidemiological surveillance, health equity analysis, or community health assessment Background in data annotation, data quality evaluation, or AI training workflows Familiarity with tools like Tableau, Power BI, Python, R, or SQL in a public health context Advanced degree in public health, health informatics, epidemiology, or a related field Why Join Us Work on cutting-edge AI projects with top research labs shaping the future of healthcare AI Fully remote and flexible — work on your own schedule, from anywhere Freelance perks: autonomy, variety, and collaboration with experts across the globe Make a meaningful contribution to AI systems that could improve health outcomes for millions Potential for ongoing work and contract extension

What you’ll do

Evaluate and provide structured feedback on AI-generated population health analyses and reporting frameworks. Translate domain expertise into actionable insights to improve how AI systems reason about complex health data.

Requirements

Requires experience with large-scale healthcare or public health datasets and proficiency in data analysis and visualization. A background in AI training or an advanced degree in health informatics or epidemiology is preferred.

Benefits

• Autonomy • Variety • Collaboration with global experts • Flexible schedule

Listed skills

• Data visualization · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Population Health Data Analysis
• Public Health Informatics
• AI Training
• Data Visualization
• Epidemiological Insights
• Health Equity Analysis
• Data Annotation
• Clinical Relevance Evaluation
• Dashboard Design
• Data Pipeline Assessment

Job areas

• Healthcare
• Data & Analytics
• Technology
• Science & Research
• Software