Population Health Informaticist
Job Description
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 population health experts to make it happen. As a Population Health Informaticist, you'll apply your expertise in public health data to evaluate, improve, and inform AI systems designed to understand health trends, disparities, and outcomes at scale.
This is a flexible, fully remote contract role where your domain knowledge directly shapes the future of AI in healthcare.
About The Role
We're partnering with leading AI research labs to build smarter, more accurate health AI — and we need population health experts to make it happen. As a Population Health Informaticist, you'll apply your expertise in public health data to evaluate, improve, and inform AI systems designed to understand health trends, disparities, and outcomes at scale.
This is a flexible, fully remote contract role where your domain knowledge directly shapes the future of AI in healthcare.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
- Evaluate AI-generated outputs related to population health data, epidemiology, and public health analytics for accuracy and quality
- Review and assess data pipelines, dashboards, and reporting frameworks produced or described by AI systems
- Identify errors, gaps, or misleading conclusions in AI-generated health insights
- Provide structured expert feedback on how well AI interprets and communicates population-level health information
- Help translate complex health data concepts into clear, actionable guidance that improves AI performance
- Work independently and asynchronously on your own schedule
- Experienced working with healthcare, public health, or population-level datasets
- Strong analytical skills with a solid understanding of health metrics, surveillance systems, and epidemiological methods
- Proficient in data visualization and reporting tools — comfortable evaluating dashboards and data summaries
- Able to identify when health data is being misrepresented, oversimplified, or incorrectly interpreted
- Clear and structured written communicator
- Self-motivated and reliable in an independent, remote work environment
- Experience with data annotation, data quality assessment, or evaluation workflows
- Background in public health informatics, epidemiology, or health data science
- Familiarity with population health platforms or EHR/claims data environments
- Prior work in AI, machine learning, or clinical decision support systems
- Work on cutting-edge AI projects with top-tier research labs and institutions
- Fully remote and flexible — set your own hours and work at your own pace
- Freelance perks: autonomy, variety, and global collaboration
- Apply your public health expertise to meaningful work that shapes how AI understands human health
- Potential for ongoing work and contract extension
More Info
Key Skills
data pipelines
surveillance systems
public health analytics
health metrics
public health data
epidemiological methods
