What are the responsibilities and job description for the Population Health Informaticist position at Alignerr?
Population Health Informaticist (AI Training)
About The Role
At Alignerr, we partner with the world's leading AI research teams to build and train cutting-edge AI models. We're looking for experienced Population Health Informaticists to bring their domain expertise to AI — helping shape how next-generation systems understand, reason about, and act on population-level health data.
Your real-world knowledge of health informatics, data pipelines, and population analytics will directly improve the quality and reliability of AI in one of the most impactful fields on the planet.
About The Role
At Alignerr, we partner with the world's leading AI research teams to build and train cutting-edge AI models. We're looking for experienced Population Health Informaticists to bring their domain expertise to AI — helping shape how next-generation systems understand, reason about, and act on population-level health data.
Your real-world knowledge of health informatics, data pipelines, and population analytics will directly improve the quality and reliability of AI in one of the most impactful fields on the planet.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
- Evaluate and provide expert feedback on AI-generated population health analyses, dashboards, and data strategies
- Identify errors, gaps, or misleading conclusions in AI outputs related to health trends, disparities, and outcome metrics
- Review and assess the quality of AI-designed data pipelines, surveillance frameworks, and reporting structures
- Translate complex analytical scenarios into clear, structured feedback that helps AI systems reason more accurately about public health
- Work independently and asynchronously on flexible, task-based assignments
- Experienced working with healthcare, public health, or population-level datasets
- Strong analytical thinker with the ability to spot flawed methodology or misleading data interpretations
- Skilled in data visualization, dashboards, and health reporting frameworks
- Able to communicate complex insights clearly and concisely in writing
- Detail-oriented and self-motivated — comfortable working independently
- Background in epidemiology, biostatistics, public health informatics, or health data science
- Experience with data annotation, data quality assessment, or evaluation systems
- Familiarity with AI workflows or model evaluation processes
- Prior work with surveillance systems, EHR platforms, or population health management tools
- Work on cutting-edge AI projects alongside top research labs and institutions
- Fully remote and flexible — set your own schedule and workload
- Freelance perks: autonomy, variety, and global collaboration
- Apply your public health expertise to work that scales your impact far beyond a single organization
- Potential for ongoing work and contract extension
Salary : $35 - $75