Population Health Informaticist

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

Benefits offered by this job

Fully remote

Flexible hours

Global collaboration

Job summary

Alignerr is seeking a Population Health Informaticist (AI Training) to join our remote, hourly-contract team. You'll apply health data expertise to evaluate and shape AI systems aimed at population health impact.

Responsibilities include analyzing datasets, assessing AI outputs for accuracy, designing dashboards and pipelines, and translating findings into actionable feedback for model improvements. Flexible 10–40 hours/week.

Qualifications

• Experience with healthcare or population-level datasets.
• Strong analytical thinking with data visualization & reporting skills.
• Ability to translate data into actionable insights for stakeholders.
• Detail-oriented with emphasis on data accuracy.
• Self-motivated and able to work asynchronously.

Responsibilities

• 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.

Skills

Healthcare data

Public health data

Data visualization

Data reporting

Attention to detail

Independent work

Tools

BI tools

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.

• 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