Population Health Informaticist

Alignerr Corp.; Chicago (IL); Remote; USD 55,000 - 110,000; Part time

Benefits offered by this job

Fully remote

Job summary

Alignerr is seeking a Population Health Informaticist for AI training, collaborating with leading AI research teams to improve health data understanding. You will review and annotate population health datasets, evaluate AI outputs for accuracy, and translate complex health concepts into actionable feedback.

This is a remote, hourly contracting role with flexible hours. Ideal candidates have healthcare or public health data experience and strong analytical and communication skills, with a

Qualifications

• Experience with healthcare or population-level datasets.
• Ability to analyze health data and interpret trends.
• Strong written communication to document feedback.

Responsibilities

• Evaluate AI-generated outputs related to population health data for accuracy.
• Annotate health datasets, dashboards, and reporting frameworks used in AI training.
• Identify gaps or misleading interpretations in AI health insights.
• Translate complex population health concepts into structured feedback to improve model performance.
• Work independently and asynchronously.

Skills

Healthcare data

Public health data

Data analysis

Data visualization

Written communication

Tools

Dashboard tools

Job description

Population Health Informaticist (AI Training)

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