Job Description

Population Health Informaticist (AI Training)

About The Role

At Alignerr, we partner with the world's leading AI research teams to build and train cutting-edge AI models. We're looking for Population Health Informaticists to bring their expertise to a field where data science meets public health — and where your insights will directly shape how AI understands and reasons about population-level health challenges.

Population Health Informaticist (AI Training)

About The Role

At Alignerr, we partner with the world's leading AI research teams to build and train cutting-edge AI models. We're looking for Population Health Informaticists to bring their expertise to a field where data science meets public health — and where your insights will directly shape how AI understands and reasons about population-level health challenges.

This is a unique opportunity to apply your analytical skills to meaningful AI projects, working flexibly and remotely on your own schedule.

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

What You'll Do

• Evaluate and improve AI-generated content related to population health data, epidemiology, and public health analytics
• Apply your expertise to assess the accuracy, depth, and quality of AI outputs covering health metrics, disparities, and intervention strategies
• Identify gaps, errors, or oversimplifications in AI reasoning around community health trends and outcomes
• Provide structured, expert feedback that helps AI systems better understand population health concepts
• Work independently and asynchronously — on a schedule that suits you

Who You Are

• Experience working with healthcare, public health, or population-level datasets
• Strong analytical skills with the ability to evaluate complex health data and interpret trends
• Familiarity with data visualization, dashboards, or reporting tools used in public health contexts
• Ability to translate complex data concepts into clear, actionable insights
• Detail-oriented and comfortable providing structured written feedback

Nice to Have

• Background in epidemiology, biostatistics, health informatics, or a related field
• Experience with data annotation, quality assessment, or evaluation frameworks
• Familiarity with population health management platforms or surveillance systems

Why Join Us

• Work on cutting-edge AI projects with top research labs and institutions
• Fully remote and flexible — work on your own schedule, from anywhere
• Freelance perks: autonomy, variety, and collaboration with a global expert community
• Contribute to AI that could meaningfully improve how health systems understand and serve populations
• Potential for ongoing work and contract extension

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