Population Health Informaticist

Alignerr Corp.; United States; Remote; GBP 34,000 - 76,000; Part time

Benefits offered by this job

Autonomy

Global collaboration

Flexible schedule

Job summary

Alignerr is seeking a Population Health Informaticist for AI training, remote, hourly contract, 10–40 hours per week. Bring health data expertise to real-world AI projects and help improve how AI interprets population-level health insights.

Contribute to health decision support by evaluating AI outputs, spotting gaps, and delivering clear, structured feedback for training workflows. Flexible, independent work across global teams is encouraged.

Qualifications

• Hands-on experience with healthcare, public health, or population-level datasets.
• Strong analytical skills to identify trends and data quality issues.
• Experience with data visualization and health reporting dashboards.
• Ability to translate insights into structured feedback for AI training.
• Self-motivated, detail-oriented and able to work independently and asynchronously.

Responsibilities

• Evaluate and validate AI-generated population health analyses, dashboards, and data interpretations for accuracy and clinical relevance.
• Identify gaps, errors, or misleading patterns in AI outputs related to health trends, disparities, and community outcomes.
• Provide structured expert feedback to help AI systems reason more accurately about epidemiological and population-level data.
• Review and assess data pipelines, reporting frameworks, and surveillance methodologies generated or described by AI.
• Translate complex health informatics concepts into clear, actionable feedback for AI training workflows.

Skills

Healthcare data experience

Analytical skills

Data visualization

Feedback for AI training

Independent / async work

Job description

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 projects focused on real-world health impact.

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 projects focused on real-world health impact.

This is a unique opportunity to apply your public health and data skills in a new frontier — shaping how AI understands, analyzes, and communicates population health insights. Your expertise will directly influence the accuracy and quality of AI systems built to support health decision‑making at scale.

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

What You’ll Do

• Evaluate and validate AI-generated population health analyses, dashboards, and data interpretations for accuracy and clinical relevance
• Identify gaps, errors, or misleading patterns in AI outputs related to health trends, disparities, and community outcomes
• Provide structured expert feedback to help AI systems reason more accurately about epidemiological and population-level data
• Review and assess data pipelines, reporting frameworks, and surveillance methodologies generated or described by AI
• Translate complex health informatics concepts into clear, actionable feedback for AI training workflows

Who You Are

• Hands-on experience with healthcare, public health, or population-level datasets
• Strong analytical skills with the ability to identify trends, disparities, and data quality issues
• Proficiency in data visualization, dashboard tools, or health reporting frameworks
• Comfortable translating complex data insights into clear, structured feedback
• Detail-oriented, self-motivated, and able to work independently and asynchronously

Nice to Have

• Experience with epidemiological surveillance, community health assessment, or health equity research
• Familiarity with data annotation, data quality evaluation, or AI model feedback workflows
• Background in biostatistics, public health informatics, or health policy

Why Join Us

• Work on cutting-edge AI projects with top research labs and institutions
• Fully remote and flexible — set your own schedule and work when it suits you
• Freelance perks: autonomy, variety, and collaboration with a global expert community
• Make a meaningful contribution to AI systems that could improve health outcomes worldwide
• Potential for ongoing work and contract extension as new projects launch