Population Health Informaticist

About The Role

We partner with the world's leading AI research labs to build smarter, more accurate AI systems — and we need your expertise to do it. As a Population Health Informaticist, you'll apply your knowledge of large-scale health data to help train and evaluate AI models that tackle some of the most pressing challenges in public health.

Your insights will directly shape how AI understands health trends, disparities, and population-level outcomes — work that matters far beyond the screen.

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

• Analyze and evaluate population health data to identify trends, disparities, and opportunities for intervention
• Review and assess AI-generated outputs related to public health, epidemiology, and health informatics for accuracy and quality
• Design or critique dashboards, data pipelines, and reporting frameworks used in population health surveillance
• Translate complex health data concepts into clear, actionable insights and structured feedback
• Support the development of AI systems that reason about health outcomes at a community and population level

• Hands-on experience working with healthcare, public health, or population-level datasets
• Strong analytical skills with the ability to interpret and evaluate health metrics critically
• Familiarity with data visualization tools, dashboards, or reporting frameworks
• Able to communicate complex findings clearly to both technical and non-technical audiences
• Detail-oriented, self-directed, and comfortable working independently

• Experience in epidemiology, biostatistics, health informatics, or a related field
• Background in data annotation, data quality assurance, or evaluation workflows
• Familiarity with public health surveillance systems or population health platforms

• Work on cutting-edge AI projects with top research labs and institutions
• Fully remote and flexible — set your own schedule and work asynchronously
• Freelance perks: autonomy, variety, and collaboration with a global network of experts
• Contribute to AI systems that have the potential to improve health outcomes at scale
• Potential for ongoing work and contract extension