Health Policy & Management — AI Data Trainer
About The Role
Your public health expertise is in demand — and not just in clinics or policy offices. Alignerr partners with the world's leading AI research labs to build smarter, safer AI systems. We're looking for Masters in Public Health (MPH) professionals to help train cutting-edge AI models to reason accurately about population health, health equity, biostatistics, and evidence-based policy.

This is a rare opportunity to apply your graduate-level knowledge to a high-impact domain where getting it right truly matters. You'll work fully remote, on a flexible schedule that fits your life.

What You’ll Do

Design Complex Health Scenarios — Create advanced public health problems involving disease outbreak simulations, health equity assessments, epidemiological analysis, and interpretation of clinical trial data.

Author Ground-Truth Responses — Develop rigorous, step-by-step solutions that draw on peer-reviewed research, epidemiological data, and authoritative guidelines (CDC, WHO, and similar standards).

Audit AI Outputs — Evaluate AI-generated health advice and policy recommendations for factual accuracy, logical consistency, bias, and adherence to ethical standards — flagging misinformation or flawed reasoning.

Sharpen AI Reasoning — Provide structured, expert feedback to help AI models correctly distinguish correlation from causation, communicate health risks clearly,



and respond appropriately to diverse populations.

Who You Are

Holds a Masters in Public Health (MPH), Master of Science in Public Health (MSPH), or a closely related graduate degree

Strong foundational knowledge in at least two of: Epidemiology, Biostatistics, Environmental Health, or Health Policy

Able to translate complex health data into explicit, accurate, and culturally sensitive written explanations

High attention to detail — especially when evaluating statistical claims, data citations, and health intervention logic

Self-directed and comfortable working independently and asynchronously

No prior AI experience

Nice to Have

Experience with data annotation, quality review, or evaluation workflows

Proficiency in data analysis tools such as R, SAS, or Stata

Background in health communication, clinical research coordination, or public health surveillance

Why Join Us

Work directly with industry-leading large language models on meaningful, high-stakes subject matter

Fully remote and flexible — set your own hours, work when it suits you

Freelance autonomy: high agency, variety of projects, and global reach

Be part of a growing contractor network with potential for ongoing project opportunities

Make a real difference — your expertise helps ensure AI gets public health right

#J-18808-Ljbffr

📌 Health Policy & Management (New Brunswick)
🏢 Alignerr
📍 New Brunswick