Population Health Informaticist

Alignerr Corp.; Edmonton; Remote; CAD 55,000 - 110,000; Part time

Job summary

Alignerr Corp. seeks a Population Health Informaticist to help evaluate, improve, and train AI systems using large-scale health data and public health informatics expertise.

You will assess AI outputs and dashboards for accuracy and relevance, and provide structured feedback with clear recommendations.

Qualifications

• Experience with healthcare, public health, or population-level datasets.
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Responsibilities

• Evaluate AI-generated analyses of population health data for accuracy and relevance.
• Review and provide structured feedback on AI outputs related to health trends and disparities.
• Assess dashboards, data pipelines, and reporting frameworks against public health standards.
• Identify gaps or errors in AI-generated population health strategies.
• Translate domain expertise into actionable feedback to improve AI reasoning.

Skills

Healthcare data

Public health

Data visualization

AI training feedback

Asynchronous work

Education

Advanced degree in public health or epidemiology

Tools

Tableau

Power BI

Python

R

SQL

Job description

Population Health Informaticist (AI Training)

About The Role

We're partnering with leading AI research teams to build smarter, more accurate AI models in the healthcare and public health space — and we need your expertise to make it happen.

Population Health Informaticist (AI Training)

About The Role

We're partnering with leading AI research teams to build smarter, more accurate AI models in the healthcare and public health space — and we need your expertise to make it happen.

As a Population Health Informaticist, you'll apply your knowledge of large-scale health data, analytics, and public health informatics to help evaluate, improve, and train AI systems. Your insights will directly shape how AI understands and reasons about population-level health challenges.

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

What You'll Do

• Evaluate AI-generated analyses of population health data for accuracy, completeness, and clinical relevance
• Review and provide structured feedback on AI outputs related to health trends, disparities, and epidemiological insights
• Assess the quality of AI-designed dashboards, data pipelines, and reporting frameworks against real-world public health standards
• Identify gaps, errors, or missed opportunities in AI-generated population health strategies and recommendations
• Translate your domain expertise into clear, actionable feedback that helps AI systems reason more effectively about complex health data

Who You Are

• Experienced working with healthcare, public health, or population-level datasets
• Skilled in data analysis and visualization, including dashboards and reporting tools
• Able to critically evaluate complex health information and communicate findings clearly
• Comfortable working independently and asynchronously on task-based assignments
• Detail-oriented, systematic, and passionate about health outcomes at scale

Nice to Have

• Experience with epidemiological surveillance, health equity analysis, or community health assessment
• Background in data annotation, data quality evaluation, or AI training workflows
• Familiarity with tools like Tableau, Power BI, Python, R, or SQL in a public health context
• Advanced degree in public health, health informatics, epidemiology, or a related field

Why Join Us

• Work on cutting-edge AI projects with top research labs shaping the future of healthcare AI
• Fully remote and flexible — work on your own schedule, from anywhere
• Freelance perks: autonomy, variety, and collaboration with experts across the globe
• Make a meaningful contribution to AI systems that could improve health outcomes for millions
• Potential for ongoing work and contract extension