Health Policy & Management

Alignerr Corp.; Oxford; Remote; GBP 36,000 - 57,000; Part time

Benefits offered by this job

Flexible remote hours

Competitive hourly pay

Contractor-friendly

Job summary

Alignerr is seeking Masters in Public Health graduates to train AI models on population health, biostatistics, and global health equity. Work remotely 10–40 hours/week at an hourly rate of $35–$55, contributing to evidence-based health information and policy analysis.

Join a team partnering with leading AI researchers to challenge models, ensure scientific consensus, and uphold ethical health guidelines while delivering high-impact outcomes globally.

Qualifications

• Advanced degree in public health or related field.
• Strong foundations in epidemiology, biostatistics or health policy.
• Analytical writing with ability to translate data into clear info.
• High precision when checking data and citations.

Responsibilities

• Design complex public health scenarios for AI training.
• Create ground-truth, evidence-based responses using peer-reviewed sources.
• Audit AI-generated health advice for accuracy and bias.
• Provide structured feedback to improve risk communication.

Skills

Epidemiology

Biostatistics

Health Policy

Analytical Writing

Public Health

Attention to Detail

Education

MPH/MSPH or related

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.