Job Description

Population Health Informaticist (AI Training)

About The Role

We're partnering with leading AI research teams to build smarter, more accurate health AI — and we need population health experts to help get it right. As a Population Health Informaticist, you'll apply your expertise in health data and analytics to evaluate, shape, and improve AI systems designed to understand and act on population-level health information.

This is a fully remote, flexible contract role. Work on your schedule, on projects that matter.

Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week

What You'll Do

Evaluate AI-generated population health analyses for accuracy, completeness, and clinical relevance
Review and assess data pipelines, dashboards, and health reporting frameworks produced by AI systems
Identify gaps, errors, or missed insights in AI outputs related to health trends, disparities, and community outcomes
Provide structured, expert feedback that directly improves how AI models reason about population health
Apply your domain knowledge to help AI understand complex public health concepts, surveillance data, and intervention strategies

Who You Are

Experienced working with healthcare, public health, or population-level datasets
Strong analytical thinker with the ability to evaluate data quality and identify meaningful patterns
Skilled in data visualization and health reporting — familiar with dashboards and surveillance tools
Able to translate complex health data into clear, actionable insights
Detail-oriented and comfortable working independently on structured tasks

Nice to Have

Background in epidemiology, biostatistics, public health informatics, or health policy
Experience with data annotation, quality assurance, or evaluation workflows
Familiarity with EHR systems, claims data, or social determinants of health datasets
Prior work with AI or machine learning projects in a health context

Why Join Us

Work on cutting-edge AI projects alongside top research labs and health data teams
Fully remote and asynchronous — work when and where it suits you
Freelance perks: autonomy, flexibility, and meaningful global collaboration
Apply your public health expertise to a domain that's shaping the future of AI-driven health decision-making
Potential for ongoing work and contract extension

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