At a Glance
- Tasks: Train AI models to provide accurate health information and policy analysis.
- Company: Alignerr, a leader in AI research partnerships.
- Benefits: Earn $35+/hour, fully remote with flexible hours.
- Why this job: Make a real impact on public health through innovative AI projects.
- Qualifications: Masters in Public Health or related field required.
- Other info: Engage directly with cutting-edge AI technology and enjoy contractor flexibility.
The predicted salary is between 28 - 44 ÂŁ per hour.
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 prioritise scientific consensus and ethical health guidelines. Work on high‑impact projects while earning $35+/hour, fully remote, with flexible weekly hours.
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 synthesise 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. 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: 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
- 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 (Takes 15-20 min)
- Submit your resume.
- Complete a short screening.
- Project matching and onboarding.
Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Health Policy & Management - AI Data Trainer in Edinburgh employer: Alignerr
Contact Detail:
Alignerr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Health Policy & Management - AI Data Trainer in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to your connections in the public health field and let them know you're on the lookout for opportunities. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Prepare for interviews by brushing up on your knowledge of AI in health policy. Be ready to discuss how you can challenge AI models with your expertise in epidemiology and biostatistics. Show them you’re the perfect fit!
✨Tip Number 3
Don’t just apply anywhere—focus on companies like Alignerr that align with your values and expertise. Tailor your approach to highlight how your skills can help them train AI models effectively.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can keep you top of mind. Plus, it shows your enthusiasm for the role and the company. Let’s make sure they remember you!
We think you need these skills to ace Health Policy & Management - AI Data Trainer in Edinburgh
Some tips for your application 🫡
Tailor Your Resume: Make sure your resume highlights your Masters in Public Health and any relevant experience. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise in epidemiology or biostatistics!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about health policy and AI. We love seeing candidates who can connect their background to our mission, so let your personality come through.
Showcase Your Analytical Writing Skills: Since this role involves translating complex health data into clear information, include examples of your analytical writing. We’re looking for clarity and precision, so make sure your writing reflects that!
Complete the Application Steps: Don’t forget to follow through with all application steps on our website. We review applications daily, so the sooner you complete your AI interview and submit your materials, the better your chances!
How to prepare for a job interview at Alignerr
✨Know Your Stuff
Make sure you brush up on your knowledge of public health, epidemiology, and biostatistics. Be ready to discuss how these areas relate to AI and health policy. The more you can connect your expertise to the role, the better!
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical writing abilities. Bring examples of how you've translated complex health data into clear, actionable insights. This will show that you can communicate effectively, which is crucial for this position.
✨Be Ready for Technical Questions
Expect questions about evaluating AI-generated health advice and identifying misinformation. Think of scenarios where you’ve had to audit or critique data, and be prepared to explain your thought process in detail.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions! Inquire about the types of projects you might work on or how the team ensures ethical standards in AI. This shows your genuine interest in the role and the company.