Population Health Informaticist

Alignerr Corp.; Chicago (IL); Remote; USD 28,000 - 69,000; Full time

Benefits offered by this job

Freelance autonomy

Global collaboration

Flexible hours

Job summary

Alignerr is seeking a Population Health Informaticist to join our remote AI training projects. You will review and annotate health datasets, evaluate AI outputs, and provide structured feedback to improve model accuracy in population health contexts.

You bring experience with healthcare or public health data, strong analytical skills, and the ability to communicate insights clearly in writing. This freelance, remote role offers flexible hours and ongoing collaboration.

Qualifications

• Experience with healthcare or population health datasets.
• Strong analytical background in health metrics or surveillance.
• Ability to evaluate AI outputs for accuracy and quality.
• Clear written communication to document feedback.

Responsibilities

• Evaluate AI-generated outputs related to population health data, analytics, and public health strategy for accuracy and quality.
• Review and annotate health datasets, dashboards, and reporting frameworks used in AI training.
• Identify gaps, errors, or misleading interpretations in AI-generated health insights.
• Translate population health concepts into structured feedback to improve model performance.
• Work independently and asynchronously on your schedule.

Skills

Healthcare data

Public health data

Data analysis

Epidemiological data

Critical thinking

Communication skills

Tools

Tableau

Power BI

Job description

Population Health Informaticist (AI Training)

We partner with the world's leading AI research teams and labs to build smarter, more accurate AI models. We're looking for Population Health Informaticists to bring their expertise to projects that sit at the intersection of public health, data science, and artificial intelligence.

About The Role

We partner with the world's leading AI research teams and labs to build smarter, more accurate AI models. We're looking for Population Health Informaticists to bring their expertise to projects that sit at the intersection of public health, data science, and artificial intelligence. Your domain knowledge will directly shape how AI understands and reasons about population health — helping build systems that can identify disparities, interpret trends, and support better health decisions at scale.

• 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 review and annotate health datasets, dashboards, and reporting frameworks used in AI training
• Identify gaps, errors, or misleading interpretations in AI-generated health insights
• Translate complex population health concepts into clear, structured feedback that improves model performance
• Work independently and asynchronously — on your schedule

Who You Are

• Experienced with healthcare, public health, or population-level datasets
• Strong analytical background with familiarity in health metrics, surveillance systems, or epidemiological data
• Skilled at data visualization or dashboard tools used in public health contexts
• Able to critically evaluate data-driven claims and identify where AI reasoning falls short
• Clear written communicator who can document feedback in structured formats

Nice to Have

• Prior experience with data annotation, data quality review, or evaluation systems
• Familiarity with health informatics standards or public health reporting frameworks
• Background in epidemiology, biostatistics, or health policy

Why Join Us

• Work on cutting-edge AI projects with top research labs and teams
• Fully remote and flexible — work on your own schedule
• Freelance perks: autonomy, variety, and global collaboration
• Put your public health expertise to use in a field that’s actively shaping the future of AI
• Potential for ongoing work and contract extension