Job Description

Population Health Informaticist (AI Training)

About The Role

We're partnering with leading AI research labs to build smarter, more accurate health intelligence systems — and we need experienced population health informaticists to help get it right.

Your deep knowledge of health data, epidemiological trends, and population-level analytics will directly inform how AI understands and reasons about public health. This is a unique opportunity to apply your expertise at the intersection of healthcare and cutting-edge AI development.

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

What You'll Do

• Evaluate and annotate AI-generated content related to population health, epidemiology, and public health data analysis
• Assess the accuracy, relevance, and quality of health data interpretations produced by AI systems
• Identify gaps, errors, and disparities in AI-generated insights across community health topics
• Provide expert feedback on dashboards, data pipelines, and reporting frameworks within AI-generated outputs
• Translate your domain expertise into structured, actionable feedback that improves AI performance in health contexts
• Review and validate AI reasoning around health trends, surveillance data, and intervention strategies

Who You Are

• Experienced working with healthcare, public health, or population-level datasets
• Strong analytical thinker with a solid grasp of health metrics and epidemiological methods
• Skilled at identifying trends, disparities, and data quality issues in complex health datasets
• Comfortable evaluating data visualizations, dashboards, and health reporting frameworks
• Able to communicate complex findings clearly and concisely in written form
• Self-directed and reliable — you manage your own time and deliver quality work independently

Nice to Have

• Experience with data annotation, quality assurance, or evaluation workflows
• Background in public health policy, health informatics, or community health programs
• Familiarity with surveillance systems, EHR data, or claims-based datasets
• Prior work with AI or machine learning projects in a health context

Why Join Us

• Work on meaningful AI projects that have real implications for public health
• Fully remote and flexible — contribute on a schedule that works for you
• Collaborate with world-class AI research teams and domain experts
• Freelance autonomy with the backing of an established, mission-driven organization
• Opportunity for ongoing work and contract extension based on performance

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