Population Health Informaticist

Alignerr Corp.; Sheffield (TX); Remote; USD 14,000 - 55,000; Part time

Job summary

Alignerr seeks a Population Health Informaticist for AI Training to evaluate health AI outputs and provide structured feedback. Remote, hourly contract, 10–40 hours per week. You will apply public health expertise to review data nuances, metrics, and epidemiological concepts, guiding improvements in AI reasoning.

Collaborating with leading AI teams, you’ll translate complex health data into clear guidance for non-technical stakeholders and help ensure real-world applicability of insights.

Qualifications

• Background in public health, epidemiology, or related field.
• Hands-on experience with population-level or healthcare datasets.
• Strong analytical skills to evaluate data outputs and visualizations.
• Ability to translate health data concepts into clear, structured feedback.

Responsibilities

• Evaluate AI-generated content related to population health for accuracy, completeness, and real-world applicability.
• Review data-driven insights, health metrics, and analytical outputs produced by AI systems.
• Identify gaps, errors, or misleading interpretations in AI-generated public health analyses.
• Apply knowledge of health disparities, surveillance systems, and population-level outcomes to provide structured feedback.
• Help refine AI understanding of epidemiological concepts, health informatics frameworks, and data reporting standards.
• Work independently and asynchronously on task-based assignments.

Skills

Public health

Data analysis

Critical thinking

Structured feedback

Independent work

Education

Public health degree

Tools

Dashboards

Data pipelines

Health surveillance tools

Job description

Population Health Informaticist (AI Training)

We're partnering with leading AI research teams to build smarter, more accurate health AI — and we need experts who understand population health data from the inside out.

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

What You'll Do

• Evaluate AI-generated content related to population health for accuracy, completeness, and real-world applicability
• Review and assess data-driven insights, health metrics, and analytical outputs produced by AI systems
• Identify gaps, errors, or misleading interpretations in AI-generated public health analyses
• Apply your knowledge of health disparities, surveillance systems, and population-level outcomes to provide structured expert feedback
• Help refine AI understanding of epidemiological concepts, health informatics frameworks, and data reporting standards
• Work independently and asynchronously on task-based assignments

Who You Are

• Background in public health, health informatics, epidemiology, or a related field
• Hands-on experience working with population-level or healthcare datasets
• Strong analytical skills with the ability to critically evaluate data outputs and visualizations
• Ability to translate complex health data concepts into clear, structured feedback
• Detail-oriented and comfortable working with structured evaluation guidelines
• No prior AI experience required — your public health expertise is what matters

Nice to Have

• Experience with dashboards, data pipelines, or health surveillance reporting tools
• Familiarity with data annotation, quality review, or evaluation systems
• Prior work in chronic disease management, health equity, or community health programs
• Experience translating data insights for non-technical stakeholders

Why Join Us

• Work on cutting-edge AI projects with top research labs
• Fully remote and flexible — work on your own schedule
• Freelance perks: autonomy, variety, and global collaboration
• Contribute to AI that could genuinely improve how health systems understand and serve populations
• Potential for ongoing work and contract extension