Population Health Informaticist
Alignerr, Denver, CO, United States
Population Health Informaticist (AI Training)
About The Role
At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting‑edge AI models. We’re looking for experienced Population Health Informaticists to bring their domain expertise to AI — helping ensure that health data, analytics, and public health reasoning are represented accurately and effectively in next‑generation AI systems.
This is a unique opportunity to apply your public health and informatics skills in a new arena, contributing to AI tools that could one day support better health decisions at scale.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You’ll Do
Evaluate and improve AI‑generated content related to population health, epidemiology, and health informatics.
Review data analysis scenarios, health metrics, and public health strategies for accuracy and real‑world applicability.
Identify gaps, errors, or oversimplifications in AI outputs related to health disparities, surveillance, and outcome modeling.
Provide structured, expert feedback that helps AI systems reason more accurately about population‑level health challenges.
Contribute to the design and evaluation of dashboards, data pipelines, and reporting framework scenarios used in AI training.
Work independently and asynchronously on task‑based assignments that fit your schedule.
Who You Are
Experienced with healthcare, public health, or population‑level datasets.
Strong analytical background with skills in data visualization and reporting.
Able to translate complex health data concepts into clear, actionable insights.
Comfortable evaluating technical health content for accuracy and quality.
Detail‑oriented, reliable, and self‑motivated.
Nice to Have
Experience with data annotation, data quality assurance, or evaluation systems.
Familiarity with epidemiological surveillance or community health initiatives.
Background in biostatistics, health informatics, or public health policy.
Prior exposure to AI or machine learning workflows.
Why Join Us
Work on cutting‑edge AI projects with top‑tier research labs and teams.
Fully remote and flexible — work on your own schedule, from anywhere.
Freelance perks: autonomy, variety, and meaningful global collaboration.
Contribute domain expertise that directly shapes how AI understands population health.
Potential for ongoing work and contract extension.
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About The Role
At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting‑edge AI models. We’re looking for experienced Population Health Informaticists to bring their domain expertise to AI — helping ensure that health data, analytics, and public health reasoning are represented accurately and effectively in next‑generation AI systems.
This is a unique opportunity to apply your public health and informatics skills in a new arena, contributing to AI tools that could one day support better health decisions at scale.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You’ll Do
Evaluate and improve AI‑generated content related to population health, epidemiology, and health informatics.
Review data analysis scenarios, health metrics, and public health strategies for accuracy and real‑world applicability.
Identify gaps, errors, or oversimplifications in AI outputs related to health disparities, surveillance, and outcome modeling.
Provide structured, expert feedback that helps AI systems reason more accurately about population‑level health challenges.
Contribute to the design and evaluation of dashboards, data pipelines, and reporting framework scenarios used in AI training.
Work independently and asynchronously on task‑based assignments that fit your schedule.
Who You Are
Experienced with healthcare, public health, or population‑level datasets.
Strong analytical background with skills in data visualization and reporting.
Able to translate complex health data concepts into clear, actionable insights.
Comfortable evaluating technical health content for accuracy and quality.
Detail‑oriented, reliable, and self‑motivated.
Nice to Have
Experience with data annotation, data quality assurance, or evaluation systems.
Familiarity with epidemiological surveillance or community health initiatives.
Background in biostatistics, health informatics, or public health policy.
Prior exposure to AI or machine learning workflows.
Why Join Us
Work on cutting‑edge AI projects with top‑tier research labs and teams.
Fully remote and flexible — work on your own schedule, from anywhere.
Freelance perks: autonomy, variety, and meaningful global collaboration.
Contribute domain expertise that directly shapes how AI understands population health.
Potential for ongoing work and contract extension.
#J-18808-Ljbffr