Health Policy & Management

Alignerr Corp.; Sheffield (TX); Remote; USD 48,000 - 76,000; Part time

Job summary

Alignerr Corp. in the United States is seeking a Health Policy & Management - AI Data Trainer for a fully remote, hourly contract. You will design advanced public health scenarios and evaluate model outputs to uphold scientific consensus and ethical health guidelines.

The role requires MPH-level training, strong epidemiology/biostatistics knowledge, and the ability to translate complex data into clear, culturally sensitive guidance for diverse populations. No AI experience required.

Qualifications

• Masters in Public Health (MPH) or closely related graduate degree.
• Strong foundational knowledge in Epidemiology, Biostatistics, Environmental Health, or Health Policy.
• Analytical writing and ability to translate complex health data into clear information.
• High attention to detail when checking statistics, data citations, and logic of health interventions.
• No AI experience required.

Responsibilities

• 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.

Skills

Analytical writing

Attention to detail

Domain expertise: Epidemiology/Biostat

No AI experience required

R

SAS

Stata

Education

Master of Public Health (MPH)

Tools

R

SAS

Stata

Job description

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

• 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.