Population Health Informaticist

Alignerr; Cambridge; Remote; GBP 55,000 - 96,000; Part time

Job summary

Alignerr is seeking a Population Health Informaticist to apply expertise to AI projects focused on population health data interpretation and health metrics.

This remote, hourly-contract role offers 10-40 hours per week, flexible scheduling, and the chance to contribute to cutting-edge AI training with healthcare datasets and diverse stakeholders.

Ideal candidates have experience with healthcare datasets, data analysis, and translating complex information into actionable insights for AI systems.

Qualifications

• Experience with healthcare, public health, or population-level datasets.
• Ability to analyze and visualize data using dashboards and reporting tools.
• Ability to identify trends, disparities, and intervention opportunities in large health datasets.
• Ability to translate complex data into clear, actionable insights for diverse stakeholders.

Responsibilities

• Evaluate and improve AI-generated content related to population health analytics, epidemiology, and public health data interpretation.
• Identify errors, gaps, and inaccuracies in AI outputs related to health metrics, disparities, and intervention strategies.
• Review and assess AI-generated dashboards, data narratives, and reporting frameworks for accuracy and real-world applicability.
• Translate complex population health concepts into structured feedback that helps AI systems reason more accurately.
• Work independently and asynchronously on task-based assignments that match your expertise.

Skills

Data analysis

Data visualization

Dashboard tools

Population health

Independent work

Job description

Population Health Informaticist (AI Training)

About The Role

At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models. We're looking for experienced Population Health Informaticists to apply their expertise to AI projects focused on improving how intelligent systems understand, analyze, and communicate population health data.

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

What You'll Do

• Evaluate and improve AI-generated content related to population health analytics, epidemiology, and public health data interpretation
• Identify errors, gaps, and inaccuracies in AI outputs related to health metrics, disparities, and intervention strategies
• Review and assess AI-generated dashboards, data narratives, and reporting frameworks for accuracy and real-world applicability
• Translate complex population health concepts into structured feedback that helps AI systems reason more accurately
• Work independently and asynchronously on task-based assignments that match your expertise

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 identify trends, disparities, and intervention opportunities within large health datasets
• Confident translating complex data into clear, actionable insights for diverse stakeholders
• Detail-oriented, reliable, and comfortable working independently

Nice to Have

• Experience with data annotation, data quality assessment, or evaluation frameworks
• Background in epidemiology, biostatistics, or public health informatics
• Familiarity with AI or machine learning workflows in a health context

Why Join Us

• Work on cutting-edge AI projects alongside top research labs and teams
• Fully remote and flexible - work on your own schedule
• Freelance perks: autonomy, variety, and global collaboration
• Apply your specialist expertise to meaningful work that shapes the future of health AI
• Potential for ongoing work and contract extension