Population Health Informaticist (AI Training) About The Role We partner with the world's leading AI research teams to build and train cutting-edge AI models — and we need experts like you to make it happen. As a Population Health Informaticist, you'll apply your real-world expertise to evaluate, improve, and inform AI systems that reason about population health, epidemiology, and public health data. Your domain knowledge directly shapes how AI understands health trends, disparities, and intervention strategies at scale.

This is a flexible, remote contract role — work on your own schedule while contributing to AI that could meaningfully improve health outcomes for millions of people.

Organization: Alignerr

Type: Hourly Contract

Location: Remote

Commitment: 10–40 hours/week What You'll Do Evaluate AI-generated responses and outputs related to population health, epidemiology, and public health informatics for accuracy and quality

Review, annotate, and analyze population-level health data scenarios to help AI systems reason more effectively

Identify gaps, errors, or misleading conclusions in AI-generated health insights and suggest improvements

Design or assess dashboards, data pipelines, and reporting frameworks within AI training contexts

Translate complex health data concepts into transparent,



structured feedback that improves AI model performance

Support surveillance, monitoring, and health equity evaluation tasks within AI workflows Who You Are Experienced working with healthcare, public health, or population-level datasets

Skilled in data analytics, visualization, and reporting tools

Able to critically evaluate data-driven insights and identify where AI reasoning falls short

Strong communicator who can translate complex findings into clear, structured feedback

Self-directed and comfortable working asynchronously on task-based assignments Nice to Have Background in epidemiology, biostatistics, health informatics, or a related field

Prior experience with data annotation, quality assurance, or evaluation systems

Familiarity with AI training workflows or human-in-the-loop systems

Experience with tools such as Tableau, Power BI, SQL, or Python for health data analysis Why Join Us Work on meaningful AI projects alongside top research labs and teams

Fully remote and flexible — set your own hours and workload

Freelance perks: autonomy, variety, and global collaboration

Contribute to AI systems that could have a lasting impact on public health

Potential for ongoing work and contract extension

📌 Population Health Informaticist (Melbourne)
🏢 Alignerr
📍 Melbourne