Health Policy & Management - AI Data Trainer

Alignerr Corp.; Remote; GBP 60,000 - 80,000; Part time

Job summary

A remote AI training organization is seeking MPH graduates for the Health Policy & Management - AI Data Trainer role. You will develop complex public health scenarios and evaluate AI-generated health advice while earning competitive pay ($35–$55/hour) with flexible hours. This opportunity allows you to challenge AI models on health policies and contribute to evidence-based public health analysis. Ideal candidates should have a strong background in epidemiology and analytical writing skills.

Benefits

Competitive pay

Flexible remote work

Opportunity for contract renewals

Qualifications

• Graduates with an MPH, MSPH, or a related degree are preferred.
• Must have strong knowledge in Epidemiology, Biostatistics, Environmental Health, or Health Policy.
• Experience with data annotation or clinical research is a plus.

Responsibilities

• Design advanced public health scenarios for training AI.
• Create solutions that synthesize research and health guidelines.
• Evaluate AI-generated health advice for accuracy and bias.
• Provide feedback to improve AI's understanding of health data.

Skills

Analytical writing

Attention to detail

Domain expertise in Epidemiology

Domain expertise in Health Policy

Education

Advanced degree (MPH, MSPH)

Tools

Data analysis software (R, SAS, Stata)

Job description

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

• Company: Alignerr
• Position: Health Policy & Management - AI Data Trainer
• Type: Hourly Contract
• Compensation: $35–$55 per hour
• Location: Remote
• Commitment: 10–40 hours per 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. 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: MPH, 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: 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 minutes)

• 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.