Population Health Informaticist

Original job posting

Evaluate and improve AI-generated content related to population health for accuracy, clinical validity, and real-world applicability. Provide expert feedback on analytical frameworks and health metrics to enhance AI reasoning regarding community-scale health outcomes.

Job details

Population Health Informaticist (AI Training) About The Role We're partnering with the world's leading AI research labs to build smarter, more accurate health AI — and we need population health experts to help make it happen. As a Population Health Informaticist, you'll bring your real-world expertise to evaluate, improve, and inform AI systems designed to understand and address health at a community scale. Your knowledge of public health data, epidemiological trends, and health disparities will directly shape how AI reasons about population-level outcomes — work that has the potential to improve lives at scale. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Evaluate AI-generated content related to population health for accuracy, clinical validity, and real-world applicability Review and assess analytical frameworks, health metrics, and data interpretations produced by AI systems Identify gaps, errors, or misleading conclusions in AI outputs related to epidemiology, health equity, and public health surveillance Provide structured, expert feedback to help AI models reason more accurately about population-level health data Apply your knowledge of dashboards, data pipelines, and reporting frameworks to assess AI-generated outputs in these domains Work independently and asynchronously on your own schedule Who You Are Experienced in healthcare, public health, or population-level data analysis Strong analytical thinker with the ability to critically evaluate health data and AI-generated insights Skilled in data visualization, dashboards, and reporting tools used in population health contexts Comfortable translating complex health data into clear, actionable assessments Detail-oriented with high standards for accuracy and rigor No prior AI experience required — your domain expertise is what matters Nice to Have Background in epidemiology, biostatistics, or health informatics Experience with data annotation, quality assurance, or evaluation frameworks Familiarity with public health surveillance systems or population health platforms Advanced degree in public health, health informatics, or a related field Why Join Us Work on cutting-edge AI projects alongside top research labs Fully remote and flexible — work on your own schedule Freelance perks: autonomy, variety, and global collaboration Apply your expertise to meaningful work at the intersection of public health and AI Potential for ongoing work and contract extension

What you’ll do

Evaluate and improve AI-generated content related to population health for accuracy, clinical validity, and real-world applicability. Provide expert feedback on analytical frameworks and health metrics to enhance AI reasoning regarding community-scale health outcomes.

Requirements

Requires experience in healthcare, public health, or population-level data analysis with strong skills in data visualization and reporting tools. An advanced degree in public health or health informatics is preferred but not required.

Benefits

• Autonomy • Variety • Global collaboration • Flexible schedule

Listed skills

• Data visualization · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Population Health Analysis
• Epidemiology
• Health Informatics
• Data Visualization
• Public Health Surveillance
• Analytical Thinking
• Data Interpretation
• Health Equity Analysis
• Reporting Frameworks
• Clinical Validity Assessment

Job areas

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