Population Health Informaticist

Alignerr; Charlotte (AR); On-site; USD 55,000 - 96,000; Part time

Job summary

Alignerr is seeking experienced Population Health Informaticists to bring their domain expertise to AI development, focusing on health data, analytics, and data pipelines. This remote, hourly contract offers flexible 10–40 hours per week to contribute to cutting-edge AI projects in population health.

You will evaluate AI-generated analyses, identify errors, review data pipelines, and translate insights into actionable feedback.

Qualifications

• Experience with healthcare data and population health analytics.
• Ability to assess AI outputs for accuracy and methodological soundness.
• Strong data visualization and reporting skills.

Responsibilities

• 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

Skills

Healthcare datasets

Public health analytics

Data visualization

Written communication

Independent work

Education

Background in epidemiology/biostatistics/public health informatics

Job description

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.

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

What You'll Do

• 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

Who You Are

• 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

Nice to Have

• 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

Why Join Us

• 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