Population Health Informaticist

Alignerr; Milwaukee (WI); Remote; USD 62.000 - 124.000; Teilzeit

Benefits dieser Stelle

Autonomy

Variety

Global collaboration

Zusammenfassung

Alignerr Corp. in the United States is seeking a Population Health Informaticist to contribute to AI training. This remote role suits experts who understand population health data and can evaluate AI-driven analyses for accuracy and relevance.

You will review outputs related to health trends and disparities, identify gaps in AI interpretations, and help define evaluation criteria. Flexible schedule and independent work are supported in this freelance arrangement.

Qualifikationen

• Experience with healthcare or population-level datasets.
• Ability to assess data quality, methodology, and interpretation.
• Clear written communication of complex insights.
• Familiarity with health metrics, surveillance, dashboards, or reporting.

Aufgaben

• Evaluate AI-generated analyses for accuracy, clinical relevance, and methodological soundness.
• Review AI outputs related to health trends, disparities, surveillance, and intervention strategies.
• Identify gaps, errors, or oversimplifications in AI interpretations.
• Help develop evaluation criteria for health informatics tasks.
• Work independently and asynchronously on your own schedule.

Kenntnisse

Analytical skills

Self-motivated

Detail-oriented

Independent work

Written communication

Ausbildung

Background in epidemiology, biostatistics, or public health informatics

Tools

Tableau

Power BI

SAS

R

Python

Jobbeschreibung

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 bring their domain expertise to AI — helping ensure that health‑focused AI systems are accurate, insightful, and genuinely useful.

This is a unique opportunity to apply your public health and data analytics background in a new context: shaping how AI understands and reasons about population‑level health data.

Job Details

• 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, clinical relevance, and methodological soundness
• Review and provide structured feedback on AI outputs related to health trends, disparities, surveillance, and intervention strategies
• Apply your expertise to identify gaps, errors, or oversimplifications in how AI interprets epidemiological and public health concepts
• Help develop and refine evaluation criteria for health informatics tasks
• Work independently and asynchronously on your own schedule

Who You Are

• Experienced working with healthcare, public health, or population-level datasets
• Strong analytical skills with the ability to assess data quality, methodology, and interpretation
• Familiar with health metrics, surveillance systems, dashboards, or reporting frameworks
• Able to communicate complex insights clearly in writing
• Detail-oriented and self-motivated

Nice to Have

• Experience with data annotation, data quality assessment, or evaluation workflows
• Background in epidemiology, biostatistics, or public health informatics
• Familiarity with tools like Tableau, Power BI, SAS, R, or Python for health data analysis
• Prior work with AI, machine learning, or clinical decision support systems

Why Join Us

• Work on cutting‑edge AI projects with top research labs tackling real public health challenges
• Fully remote and flexible — work on your own schedule
• Freelance perks: autonomy, variety, and global collaboration
• Contribute to meaningful work where your health expertise directly improves AI quality
• Potential for ongoing work and contract extension