Population Health Informaticist

Alignerr Corp.; Dallas (TX); Remote; USD 55,000 - 110,000; Part time

Benefits offered by this job

Autonomy

Global collaboration

Flexible schedule

Job summary

Alignerr is seeking a Population Health Informaticist for an AI training project. You will evaluate AI outputs on health data, assess population metrics and disparities, and provide structured feedback to improve AI reasoning in health contexts.

The role is a fully remote hourly contract with flexible scheduling, 10–40 hours per week. You will work asynchronously and collaborate with top research teams on cutting-edge health AI.

Qualifications

• Experience with healthcare or population-level datasets.
• Strong analytical skills in epidemiology or biostatistics.
• Ability to evaluate data visualizations and dashboards.

Responsibilities

• Evaluate AI outputs related to population health data for accuracy.
• Assess how AI handles population metrics, disparities, and trends.
• Identify gaps or misinterpretations in AI-generated insights.
• Provide actionable feedback to improve AI reasoning on health data.
• Review dashboards and data pipelines described by AI tools.
• Translate domain knowledge into clear evaluations for AI.

Skills

Population health data

Epidemiology

Biostatistics

Data visualization

Technical writing

Remote work

Asynchronous work

Tools

Tableau

Power BI

QGIS

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 help shape it. As a Population Health Informaticist, you'll apply your real-world expertise to evaluate, annotate, and improve AI systems working with large-scale health data.

This is a fully remote, flexible contract role. You set your schedule and work on your own terms.

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

What You'll Do

• Evaluate AI-generated outputs related to population health data, analytics, and public health strategy for accuracy and quality
• Apply your expertise to assess how well AI handles population-level metrics, health disparities, and epidemiological trends
• Identify gaps, errors, or misleading interpretations in AI-generated health insights
• Provide structured, expert feedback to help AI systems reason more accurately about community health data
• Review and annotate dashboards, data pipelines, and reporting frameworks generated or described by AI tools
• Translate your domain knowledge into clear, actionable evaluations that directly improve AI performance

Who You Are

• Experienced working with healthcare, public health, or population-level datasets
• Strong analytical thinker with a solid grasp of epidemiology, health metrics, or biostatistics
• Comfortable evaluating data visualizations, dashboards, and reporting outputs
• Able to communicate complex findings clearly and concisely in writing
• Self-directed, reliable, and detail-oriented
• Comfortable working asynchronously in a remote environment

Nice to Have

• Experience with data annotation, quality review, or evaluation systems
• Background in public health informatics, health IT, or clinical data management
• Familiarity with tools such as Tableau, Power BI, QGIS, or similar platforms
• Prior work in health equity, chronic disease surveillance, or community health programs

Why Join Us

• Work on cutting-edge AI projects with top research labs shaping the future of health AI
• Fully remote and flexible – work when and how it suits you
• Freelance perks: autonomy, variety, and global collaboration
• Contribute meaningful expertise to AI that has real-world health impact
• Potential for ongoing work and contract extension