Population Health Informaticist

Alignerr Corp.; Pittsburgh (Allegheny County); Remote; USD 34,000 - 55,000; Full time

Job summary

Alignerr Corp. is seeking a Population Health Informaticist for AI training. This remote hourly contract offers 10–40 hours per week to annotate and review AI-generated health content, focusing on population health, epidemiology, and public health data analysis.

You'll evaluate AI outputs, provide expert feedback on dashboards and data pipelines, and help improve AI performance in health contexts. Strong written communication and self-directed work are essential, with experience in healthcare

Qualifications

• Experience with healthcare, public health, or population-level datasets.
• Strong analytical thinker with health metrics and epidemiology knowledge.
• Ability to identify trends and disparities in health data.

Responsibilities

• Annotate AI-generated content on population health and epidemiology.
• Assess accuracy and relevance of health data interpretations.
• Identify gaps and disparities in AI insights across community health topics.
• Provide feedback on dashboards, data pipelines, and reporting.
• Translate domain expertise into actionable feedback to improve AI.
• Review AI reasoning on health trends and intervention strategies.

Skills

Healthcare data analysis

Epidemiology methods

Data quality assessment

Data visualization review

Written communication

Self-directed work

Job description

Population Health Informaticist (AI Training)

We're partnering with leading AI research labs to build smarter, more accurate health intelligence systems - and we need experienced population health informaticists to help get it right.

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

What You'll Do

• Evaluate and annotate AI-generated content related to population health, epidemiology, and public health data analysis
• Assess the accuracy, relevance, and quality of health data interpretations produced by AI systems
• Identify gaps, errors, and disparities in AI-generated insights across community health topics
• Provide expert feedback on dashboards, data pipelines, and reporting frameworks within AI-generated outputs
• Translate your domain expertise into structured, actionable feedback that improves AI performance in health contexts
• Review and validate AI reasoning around health trends, surveillance data, and intervention strategies

Who You Are

• Experienced working with healthcare, public health, or population-level datasets
• Strong analytical thinker with a solid grasp of health metrics and epidemiological methods
• Skilled at identifying trends, disparities, and data quality issues in complex health datasets
• Comfortable evaluating data visualizations, dashboards, and health reporting frameworks
• Able to communicate complex findings clearly and concisely in written form
• Self-directed and reliable - you manage your own time and deliver quality work independently

Nice to Have

• Experience with data annotation, quality assurance, or evaluation workflows
• Background in public health policy, health informatics, or community health programs
• Familiarity with surveillance systems, EHR data, or claims-based datasets
• Prior work with AI or machine learning projects in a health context

Why Join Us

• Work on meaningful AI projects that have real implications for public health
• Fully remote and flexible - contribute on a schedule that works for you
• Collaborate with world-class AI research teams and domain experts
• Freelance autonomy with the backing of an established, mission-driven organization
• Opportunity for ongoing work and contract extension based on performance