Population Health Informaticist

Alignerr Corp.; Atlanta (GA); Remote; USD 55,000 - 96,000; Part time

Job summary

Alignerr is seeking a Population Health Informaticist for AI Training. This fully remote, hourly contract role invites you to apply your population health expertise to evaluate and improve AI systems that impact community health. Flexible schedule and independent work in asynchronous environments are supported.

You will analyze health datasets, assess AI outputs, design dashboards and data pipelines, and translate findings into actionable feedback to boost model performance. 10-40 hours per week.

Qualifications

• Experience with population health data and analytics.
• Proficiency in data visualization and reporting tools.
• Ability to translate complex findings for diverse stakeholders.

Responsibilities

• Analyze and evaluate population-level health datasets to identify trends, disparities, and opportunities for intervention.
• Assess AI-generated health insights for accuracy, relevance, and real-world applicability.
• Design and review dashboards, data pipelines, and reporting frameworks for health surveillance and decision-making.
• Translate analytical findings into actionable feedback to improve AI model performance.
• Contribute to data quality evaluation and annotation workflows within population health contexts.

Skills

Population health data

Data visualization

Analytical thinking

Independent work

Asynchronous communication

Tools

Tableau

Power BI

SQL

Job description

Population Health Informaticist (AI Training)

About The Role

We're partnering with leading AI research teams to build smarter, more accurate health AI - and we need population health experts to make it happen. As a Population Health Informaticist, you'll apply your expertise in health data and analytics to evaluate, shape, and improve AI systems that aim to improve outcomes at a community and population level.

This is a fully remote, flexible contract role - work on your own schedule while contributing to AI projects that genuinely matter.

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

What You'll Do

• Analyze and evaluate population-level health datasets to identify trends, disparities, and opportunities for intervention
• Assess AI-generated health insights and outputs for accuracy, relevance, and real-world applicability
• Design and review dashboards, data pipelines, and reporting frameworks used in health surveillance and decision-making
• Translate complex analytical findings into clear, actionable feedback that improves AI model performance
• Contribute to data quality evaluation and annotation workflows within population health contexts

Who You Are

• Experienced with healthcare, public health, or population-level datasets
• Strong analytical thinker with hands-on experience in data visualization and reporting tools
• Able to bridge the gap between raw data and meaningful insights for diverse stakeholders
• Detail-oriented with a commitment to accuracy and data integrity
• Self-motivated and comfortable working independently in an asynchronous environment

Nice to Have

• Experience with data annotation, data quality assurance, or evaluation systems
• Background in epidemiology, public health informatics, or health policy
• Familiarity with AI or machine learning workflows in healthcare settings

Why Join Us

• Work on cutting-edge AI projects alongside top research labs and institutions
• Fully remote and flexible - set your own hours and work from anywhere
• Freelance perks: autonomy, variety, and global collaboration
• Apply your public health expertise to work that has real-world impact
• Potential for ongoing work and contract extension