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Alignerr

Health Policy & Management AI Data Trainer

Alignerr

Remote · Contratto

Sii il primo a candidarti

Esperienza
Qualsiasi
Stipendio
Aperture
1
Pubblicato
4 giorni fa
Modalità di lavoro
Lavoro da casa
Istruzione
Master's degree in Public Health or closely related field
Riprendere
È necessario candidarsi

Descrizione del lavoro

About the Role

Join Alignerr to contribute your public health expertise in training AI systems to provide reliable health information. As a professional with a background in public health, epidemiology, or health policy, you will play a vital role in helping AI understand complex health issues, impacting how disease, policy, and population health are interpreted by AI for years ahead.

Responsibilities

  • Develop intricate public health scenarios that involve disease outbreak simulations, assessments of health equity, interpretation of biostatistical data, and health policy analysis.
  • Create authoritative, evidence-based solutions referencing peer-reviewed studies and guidelines from respected organizations such as CDC and WHO.
  • Review AI-generated content for correctness, potential bias, ethical adherence, logical consistency, and identify misinformation or gaps in health explanations.
  • Provide detailed feedback to improve AI reasoning, helping the model differentiate correlation from causation, clearly communicate health risks, and address diverse populations appropriately.

Requirements

  • Possess a master’s degree in Public Health (MPH), Master of Science in Public Health (MSPH), or a closely related graduate field.
  • Have a strong understanding in at least two of the following: Epidemiology, Biostatistics, Environmental Health, or Health Policy.
  • Demonstrate ability to translate complex health data into clear, accurate, and culturally appropriate written communication.
  • Exhibit meticulous attention to detail, focusing on statistical significance, citing reliable sources, and logical intervention strategies.
  • No prior experience with AI is necessary.

Preferred Qualifications

  • Experience with data annotation, quality assurance, or coordinating research projects.
  • Familiarity with data analysis software such as R, SAS, or Stata.
  • Background in health communication, clinical research, or public health monitoring.

Why Work With Us

  • Make a meaningful difference by ensuring AI provides trustworthy and evidence-supported health information to users worldwide.
  • Enjoy fully remote work with flexible hours (10–40 hours per week) that accommodate your lifestyle.
  • Engage with state-of-the-art AI technology, including large language models from leading research labs.
  • Operate autonomously as an independent contractor with opportunities to join global projects.
  • Benefit from ongoing contract renewal possibilities and potential for sustained collaboration.

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