Health Policy and Management AI Data Trainer
Alignerr
Job Overview
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Job Description
About Alignerr
At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models.
The Opportunity: Health Policy and Management AI Data Trainer
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. This fully remote, hourly contract position offers competitive pay and flexible weekly hours, allowing you to work on high-impact projects.
Organization: AlignerrPosition: Health Policy and Management AI Data TrainerType: Hourly ContractCompensation: $35–$55 /hourLocation: RemoteCommitment: 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 Qualifications
- 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.
Application Process
The application process typically takes 15-20 minutes and involves:
- Submitting your resume.
- Completing 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.
Key skills/competency
- Public Health
- Epidemiology
- Biostatistics
- Health Policy
- AI Training
- Data Annotation
- Health Communication
- Analytical Writing
- Ethical AI
- Scientific Research
How to Get Hired at Alignerr
- Research Alignerr's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume for AI Data Trainer: Highlight your MPH degree, public health expertise, and analytical writing skills for Alignerr.
- Showcase domain expertise: Emphasize experience in epidemiology, biostatistics, environmental health, or health policy in your application.
- Prepare for the screening project: Demonstrate your ability to analyze health data and provide structured feedback.
- Highlight attention to detail: Stress your precision in data citation, statistical significance, and logical health interventions for Alignerr.
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