Population Health Informaticist

Alignerr Corp.; Raleigh (NC); Remote; USD 55,000 - 138,000; Part time

Benefits offered by this job

Autonomy

Flexible schedule

Global collaboration

Job summary

Alignerr is seeking a Population Health Informaticist (AI Training) to work remotely on an hourly contract. You will evaluate AI-generated population health analyses, review data pipelines and dashboards, and identify biases or gaps in AI outputs related to health trends and disparities.

The role emphasizes clear communication and independent, async work in a dynamic, global team. Flexible schedule and ongoing freelance opportunities are available, with 10-40 hours per week expected.

Qualifications

• Experienced with healthcare, public health, or population-level datasets.
• Skilled in data analysis and visualization, including dashboards and reporting tools.
• Able to critically evaluate data-driven insights and identify where AI reasoning falls short.
• Strong communicator able to explain complex health data clearly and concisely.
• Self-directed and comfortable working independently in an async environment.

Responsibilities

• Evaluate AI-generated population health analyses for accuracy, completeness, and real-world applicability.
• Review and assess data pipelines, dashboards, and reporting frameworks used in health surveillance and decision-making.
• Identify gaps, errors, or biases in AI outputs related to health trends, disparities, and community-level outcomes.
• Provide structured, expert feedback to help AI systems reason more accurately about population health concepts.
• Translate complex analytical scenarios into clear, actionable evaluations that improve AI performance.

Skills

Data analysis

Data visualization

Public health data

Critical evaluation

Education

Epidemiology background

Tools

Dashboards

Reporting tools

Job description

Population Health Informaticist (AI Training)

We’re partnering with leading AI research labs to build smarter, more accurate health AI - and we need experts who understand population-level data to make it happen. As a Population Health Informaticist, you’ll apply your analytical expertise to evaluate, improve, and inform AI systems focused on health outcomes, trends, and disparities across communities. This is a meaningful opportunity to put your public health and data skills to work on cutting-edge AI projects - fully remote, on your schedule.

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

What You’ll Do

• Evaluate AI-generated population health analyses for accuracy, completeness, and real-world applicability
• Review and assess data pipelines, dashboards, and reporting frameworks used in health surveillance and decision-making
• Identify gaps, errors, or biases in AI outputs related to health trends, disparities, and community-level outcomes
• Provide structured, expert feedback to help AI systems reason more accurately about population health concepts
• Translate complex analytical scenarios into clear, actionable evaluations that improve AI performance

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 data-driven insights and identify where AI reasoning falls short
• Strong communicator - you can explain complex health data concepts clearly and concisely
• Self-directed and comfortable working independently in an async environment

Nice to Have

• Background in epidemiology, biostatistics, health informatics, or a related field
• Experience with data annotation, data quality assessment, or evaluation frameworks
• Familiarity with public health surveillance systems or population health platforms
• Prior work with AI or machine learning projects in a health context

Why Join Us

• Work on cutting-edge AI projects with top research labs shaping the future of health AI
• Fully remote and flexible - work on your own schedule, from anywhere
• Freelance perks: autonomy, variety, and collaboration with a global network of experts
• Apply your real-world expertise to work that has meaningful public health implications
• Potential for ongoing work and contract extension