Health Policy & Management

Alignerr; France; Remote; EUR 43.000 - 68.000; Teilzeit

Benefits dieser Stelle

Flexible remote work

Direct engagement with leading LLMs

Contractor advantages: high agency and

Renewals and international reach

Zusammenfassung

Alignerr is seeking a Health Policy & Management - AI Data Trainer to work remotely on a flexible, hourly contract. The role focuses on training AI models with evidence-based health information, disease-outbreak scenarios, and health equity analyses. Masters in Public Health or related field required, with expertise in epidemiology/biostatistics and health policy.

10–40 hours/week. You will develop complex problems, author ground-truth solutions, and conduct technical audits to ensure accuracy

Qualifikationen

• Advanced degree in public health (MPH, MSPH or related field) required.
• Strong foundation in epidemiology, biostatistics or health policy.
• Ability to translate complex health data into clear guidance.
• Attention to statistical accuracy and data citations.

Aufgaben

• Develop complex public health scenarios for training AI models.
• Author rigorous, step-by-step ground-truth solutions from peer-reviewed sources.
• Audit AI health content for accuracy, bias, and ethics.
• Provide structured feedback to distinguish correlation from causation.

Kenntnisse

Analytical writing

Attention to detail

Epidemiology

Biostatistics

Health policy

Ausbildung

Master of Public Health (MPH)

Master of Science in Public Health (MSPH)

Tools

R

SAS

Stata

Jobbeschreibung

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.