- Expérience
- N'importe lequel
- Salaire
- —
- Ouvertures
- 1
- Publié
- il y a 3 semaines
- Mode de travail
- Travaillez à domicile
- Éducation
- MPH
- Admissibilité
- Professionals with an MPH, MSPH, or a related graduate degree in public health or a closely aligned field who can work remotely and independently.
- CV
- Candidature requise
Description de l'emploi
About the Role
Join a fully remote, flexible contract opportunity where your public health background helps improve how AI systems answer health-related questions. The work supports leading AI research teams in producing guidance that is accurate, evidence-based, and aligned with ethical standards.
This position is intended for professionals with master’s-level public health training who can use their subject knowledge to strengthen the quality, reasoning, and fairness of AI outputs.
Role Details
- Organization: Alignerr
- Engagement type: Hourly contract
- Work arrangement: Remote
- Weekly commitment: 10 to 40 hours per week
What You’ll Be Doing
- Building challenging public health scenarios, including outbreak simulations, health equity case studies, and clinical trial data interpretation, to test AI reasoning.
- Creating high-quality reference answers based on peer-reviewed studies, epidemiological evidence, and guidance from respected public health bodies such as the CDC and WHO.
- Reviewing AI-generated health advice and policy suggestions for factual accuracy, bias, consistency, and ethical soundness.
- Providing structured expert feedback that helps models better explain risk, separate correlation from causation, and communicate appropriately to different communities.
Who Should Apply
- Applicants should hold an MPH, MSPH, or a closely related graduate qualification.
- Candidates need a solid foundation in at least two of the following areas: epidemiology, biostatistics, environmental health, or health policy.
- Ability to turn complex health information into clear, practical, and culturally aware written communication is important.
- Strong attention to detail is needed when checking statistical significance, citations, and intervention logic.
- This role suits self-directed professionals who are comfortable working independently in an asynchronous setting.
- No previous AI experience is necessary.
Preferred Experience
- Experience with data annotation, quality review, or evaluation workflows is advantageous.
- Hands-on familiarity with tools such as R, SAS, or Stata is a plus.
- Exposure to health communication, clinical research coordination, or public health surveillance is beneficial.
Why This Role May Appeal to You
- Opportunity to contribute to impactful AI work with leading research labs and teams.
- Remote flexibility with the ability to choose your own schedule within the stated weekly hours.
- Independent freelance-style engagement with meaningful intellectual challenge and public health impact.
- Direct involvement with advanced large language models.
- Potential for contract renewals and broader project participation over time.
- The chance to help shape AI that handles public health information responsibly.