Health Policy & Management

Toronto, Ontario, Canada
Remote
Posted Oct 9, 2026
1 position

US$35–US$55 / hour

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Employment type: Contract
Experience level: Entry, Junior · 0+ years
Minimum education: Master’s degree
Posting language: English
Working hours: 40 hours per week
Location requirements: Country, Toronto, Ontario, Canada
Seniority: Entry level

Job summary

Develop advanced public health scenarios and write evidence-based, step-by-step solutions drawing on research, epidemiological data, and public health guidelines. Audit AI-generated health advice and policy recommendations for accuracy, bias, ethical compliance, and sound reasoning, then provide structured feedback to improve model performance.

Job details

Health Policy & Management - AI Data Trainer Location: Remote About The Job At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models. We are seeking Masters in Public Health (MPH) graduates to help train AI models to provide accurate, evidence-based health information and policy analysis. You will challenge Large Language Models on their understanding of population health, biostatistics, and global health equity—ensuring that the models prioritize scientific consensus and ethical health guidelines. Work on high-impact projects while earning $35+/hour, fully remote, with flexible weekly hours. Organization: Alignerr Position: Health Policy & Management - AI Data Trainer Type: Hourly Contract Compensation: $35–$55 /hour Location: Remote Commitment: 10–40 hours/week What You’ll Do Develop Complex Problems: Design advanced public health scenarios involving disease outbreak simulations, health equity assessments, and statistical interpretation of clinical trials. Author Ground-Truth Solutions: Create rigorous, step-by-step responses that synthesize peer-reviewed research, epidemiological data, and current public health guidelines (e.g., CDC, WHO standards). Technical Auditing: Evaluate AI-generated health advice and policy recommendations for accuracy, bias, and adherence to ethical standards. You will identify "misinformation" or logical gaps in the AI's health reasoning. Refine Reasoning: Provide structured feedback to help the model distinguish between correlation and causation in health data and improve its ability to communicate risks to diverse populations. Requirements Advanced Degree: Masters in Public Health (MPH), Master of Science in Public Health (MSPH), or a closely related graduate degree. Domain Expertise: Strong foundational knowledge in at least two core pillars: Epidemiology, Biostatistics, Environmental Health, or Health Policy. Analytical Writing: The ability to translate complex health data into clear, actionable, and culturally sensitive written information. Attention to Detail: High level of precision when checking statistical significance, data citations, and the logic of health interventions. No AI experience required Preferred Prior experience with data annotation, data quality, or evaluation systems Experience with data analysis software such as R, SAS, or Stata. Prior experience in health communication, clinical research coordination, or public health monitoring Why Join Us Competitive pay and flexible remote work. Direct engagement with industry-leading LLMs. Contractor advantages: high agency, agility, and international reach. More opportunities for contracting renewals. Application Process (Takes 15-20 min) Submit your resume Complete a short screening Project matching and onboarding PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

What you’ll do

Requirements

Requires an MPH, MSPH, or closely related graduate degree, with foundational expertise in at least two areas such as epidemiology, biostatistics, environmental health, or health policy. Candidates should be able to communicate complex health data clearly and sensitively and carefully assess statistics, citations, and intervention logic; AI experience is not required.