Live opening · Posted 1 day ago

Population Health Informaticist

Alignerr · Wellington, Wellington, New Zealand (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 1 day ago
CompanyAlignerr
LocationWellington, Wellington, New Zealand (Remote)
Salary$35/hr - $75/hr
Work modeYes
SourceLinkedin
ListedPosted 1 day ago

About the role

Description supplied by the original job listing.

Population Health Informaticist (AI Training)
About The Role
We're partnering with leading AI research teams to build smarter, more accurate AI systems — and we need population health experts to help us get there. As a Population Health Informaticist, you'll apply your expertise in health data and analytics to evaluate, improve, and inform AI outputs related to public health, epidemiology, and community health outcomes.
This is a fully remote, flexible contract role that lets you contribute meaningful work on your own schedule.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Evaluate AI-generated content and analyses related to population health for accuracy, completeness, and clinical relevance
Review and assess data-driven insights on health trends, disparities, and community-level outcomes
Provide structured expert feedback on dashboards, data pipelines, reporting frameworks, and surveillance methodologies
Identify gaps, errors, or misleading interpretations in AI outputs across public health topics
Translate complex population health concepts into clear, actionable feedback that improves AI model performance
Contribute to the development of evaluation criteria for health informatics content
Who You Are
Experienced working with healthcare, public health, or population-level datasets
Strong analytical thinker with the ability to critically assess health data and outcomes
Comfortable evaluating data visualizations, dashboards, and reporting tools for quality and accuracy
Able to communicate complex insights clearly and in structured formats
Self-motivated and reliable — able to work independently and asynchronously
Nice to Have
Background in epidemiology, biostatistics, public health informatics, or a related field
Familiarity with health surveillance systems, EHR data, or community health metrics
Prior experience with data annotation, data quality evaluation, or AI training workflows
Experience translating health data findings for non-technical stakeholders
Why Join Us
Work on cutting-edge AI projects with top research labs and institutions
Fully remote and flexible — set your own hours and work at your own pace
Freelance perks: autonomy, variety, and meaningful global collaboration
Apply your public health expertise to problems that matter at scale
Potential for ongoing work and contract extension

Work arrangement
Yes

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