Health Policy & Management - AI Data Trainer

Health Policy & Management - AI Data Trainer

Join to apply for the Health Policy & Management - AI Data Trainer role at Alignerr

$35.00/hr - $55.00/hr

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

• 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.
• Technical auditing: evaluate AI‑generated health advice and policy recommendations for accuracy, bias, and adherence to ethical standards—identifying misinformation or logical gaps.
• Refine reasoning: provide structured feedback to help the model distinguish correlation and causation in health data and improve its ability to communicate risks to diverse populations.

• 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.

• 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.

• 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.

• 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.