Health Policy & Management
Alignerr · United States
- Hybrid
- Contract
- $80,000 / year
- United States
Job highlights
- Evaluate AI models in health policy and management.
- Design public health scenarios for AI testing.
- Author ground-truth solutions based on research.
- Audit AI outputs for accuracy and bias.
- Refine AI reasoning for health applications.
About the role
AI Data Trainer Health Policy and Management
About The Role
Your public health expertise is more valuable than ever — not just in clinics or government agencies, but at the frontier of artificial intelligence. Alignerr partners with the world's leading AI research labs to build smarter, safer AI models, and we need credentialed public health professionals to help get it right.
As a Health Policy & Management AI Data Trainer, you'll use your graduate-level knowledge to challenge, evaluate, and refine how AI understands population health, epidemiology, biostatistics, and health policy. This is a fully remote, flexible contract role that lets you do meaningful, high-impact work entirely on your own schedule.
What You'll Do
- Design Complex Public Health Scenarios — Create advanced, realistic challenges involving disease outbreak simulations, health equity assessments, and statistical interpretation of clinical trials to rigorously test AI reasoning
- Author Ground-Truth Solutions — Develop detailed, step-by-step responses grounded in peer-reviewed research, epidemiological data, and guidelines from authoritative bodies such as the CDC and WHO
- Audit AI Outputs — Evaluate AI-generated health advice and policy recommendations for factual accuracy, ethical alignment, and potential bias — identifying misinformation, flawed logic, or gaps in reasoning
- Refine AI Reasoning — Provide structured, expert feedback that helps AI models distinguish correlation from causation, communicate health risks clearly, and serve diverse populations equitably
- Uphold Scientific Standards — Ensure AI responses reflect current scientific consensus and adhere to established ethical health guidelines
Who You Are
- Hold a Masters in Public Health (MPH), MSPH, or closely related graduate degree
- Strong foundational knowledge in at least two of: Epidemiology, Biostatistics, Environmental Health, or Health Policy
- Able to translate complex health data into clear, accurate, and culturally sensitive written communication
- Detail-oriented when reviewing statistical significance, data citations, and the logic of health interventions
- Self-motivated, reliable, and comfortable working independently and asynchronously
- No prior AI experience required
Nice to Have
- Experience with data annotation, quality assessment, or evaluation systems
- Proficiency in data analysis tools such as R, SAS, or Stata
- Background in health communication, clinical research coordination, or public health surveillance
Why Join Us
- Work directly with cutting-edge Large Language Models at the forefront of AI development
- Fully remote and asynchronous — work when and where it suits you
- Flexible weekly commitment of 10–40 hours to fit around your existing schedule
- Freelance contractor advantages: high autonomy, variety, and global reach
- Contribute to work that genuinely matters — making AI safer and more accurate in high-stakes health domains
- Potential for ongoing contract renewals and expanded project opportunities
Key skills/competency
- Health Policy and Management
- AI Data Training
- Epidemiology
- Biostatistics
- Public Health Expertise
- AI Reasoning Refinement
- Data Annotation
- Health Communication
- Ethical AI
- Public Health Scenarios
Skills & topics
- Health Policy
- Management
- AI Data Trainer
- Public Health
- Epidemiology
- Biostatistics
- AI Model Training
- Data Evaluation
- Remote
- Contractor
How to get hired
- Tailor your resume: Highlight your MPH, public health knowledge (epidemiology, biostatistics), and data interpretation skills.
- Showcase your expertise: Emphasize experience translating complex health data into clear communication and attention to detail in reviewing data.
- Demonstrate self-motivation: Provide examples of working independently and asynchronously on challenging projects.
- Address remote work readiness: Confirm your comfort and reliability in a fully remote, flexible contract role.
- Prepare for technical questions: Be ready to discuss how you would approach evaluating AI outputs for accuracy and bias in health contexts.
Technical preparation
Review public health data standards.,Practice writing clear health explanations.,Understand statistical significance and interpretation.,Familiarize with CDC/WHO guidelines.
Behavioral questions
How do you ensure accuracy in complex data?,Describe handling detailed, independent work.,How do you approach unbiased evaluation?,How do you translate technical information clearly?
Frequently asked questions
- What specific public health knowledge is required for the AI Data Trainer role at Alignerr?
- For the AI Data Trainer position at Alignerr, you'll need a Master's degree in Public Health (MPH, MSPH, or equivalent) and strong foundational knowledge in at least two of the following areas: Epidemiology, Biostatistics, Environmental Health, or Health Policy. This academic background is crucial for evaluating and refining AI models in these domains.
- Is prior experience with AI or data annotation necessary to become an AI Data Trainer at Alignerr?
- No, prior AI experience is not required to be an AI Data Trainer at Alignerr. While experience with data annotation, quality assessment, or evaluation systems is a plus, the role is designed for public health professionals to leverage their existing expertise in challenging and refining AI models.
- How flexible is the schedule for the Health Policy & Management AI Data Trainer role at Alignerr?
- The Health Policy & Management AI Data Trainer role at Alignerr offers significant flexibility. It is a fully remote and asynchronous contract position, allowing you to work entirely on your own schedule with a flexible weekly commitment ranging from 10 to 40 hours.
- What kind of impact can I have as a Health Policy & Management AI Data Trainer with Alignerr?
- As a Health Policy & Management AI Data Trainer, you will play a critical role in making AI models safer and more accurate in high-stakes health domains. Your work directly contributes to building smarter AI by ensuring it correctly understands population health, epidemiology, and health policy, ultimately impacting the reliability of health-related AI applications.
- What are the key responsibilities of an AI Data Trainer focusing on Health Policy & Management at Alignerr?
- Key responsibilities include designing complex public health scenarios to test AI, authoring ground-truth solutions based on scientific research, auditing AI outputs for accuracy and bias, and providing expert feedback to refine AI reasoning. You will ensure AI responses align with scientific consensus and ethical health guidelines.