Population Health Informaticist

Population Health Informaticist (AI Training) About The Role We're partnering with leading AI research labs to build smarter, more accurate health AI — and we need experienced population health professionals to make it happen. As a Population Health Informaticist, you'll apply your expertise to evaluate, improve, and shape how AI understands, and reasons about large-scale health data.

Your domain knowledge will directly influence AI systems that support public health decision-making, clinical research, and community health strategy. This is a rare opportunity to work at the intersection of healthcare analytics and cutting-edge AI — entirely on your own schedule.

Organization: Alignerr

Type: Hourly Contract

Location: Remote

Commitment: 10–40 hours/week

What You’ll Do

Evaluate AI-generated content and outputs related to population health, epidemiology, and health disparities for accuracy and clinical relevance

Review and assess AI-produced analyses involving health metrics, surveillance data, and community health trends

Identify errors, gaps, or misleading interpretations in AI reasoning about public health topics

Provide structured, expert feedback to help AI systems produce more reliable and actionable health insights

Apply your knowledge of health data pipelines, dashboards, and reporting frameworks to assess AI-generated solutions

Translate complex health informatics concepts into clear, grounded evaluations

Who You Are

Experienced working with healthcare, public health, or population-level datasets

Skilled in health data analysis, visualization, and reporting — including dashboards and surveillance tools

Able to critically assess whether data-driven health insights are accurate, complete, and appropriately interpreted

Comfortable working independently and asynchronously on task-based assignments

Strong written communicator who can articulate nuanced feedback clearly

Nice to Have

Background in epidemiology, biostatistics, or public health informatics

Experience with data annotation, data quality assessment, or evaluation frameworks

Familiarity with AI tools or language model evaluation workflows

Knowledge of health equity, social determinants of health, or community health interventions

Why Join Us

Work on meaningful AI projects with real-world public health implications

Fully remote and flexible — set your own hours and workload

Collaborate with a global network of domain experts and AI researchers

Freelance autonomy with the backing of top-tier AI research teams

Ongoing contract potential as projects expand

#J-18808-Ljbffr