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- Tasks: Train AI models to provide accurate health information and policy analysis.
- Company: Alignerr, a leader in AI research collaboration.
- Benefits: Earn $35+/hour, fully remote with flexible hours.
- Other info: Engage with cutting-edge AI technology and enjoy contractor flexibility.
- Why this job: Make a real impact on global health equity and policy.
- Qualifications: Masters in Public Health or related field required.
The predicted salary is between 28 - 44 ÂŁ per hour.
Location: Remote
About the Job
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.
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Health Policy & Management in Manchester employer: Alignerr Corp.
Contact Detail:
Alignerr Corp. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Health Policy & Management in Manchester
✨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
Get your online presence sorted! Make sure your LinkedIn profile is up-to-date and showcases your skills in health policy and management. Join relevant groups and engage with posts to get noticed by potential employers.
✨Tip Number 3
Prepare for interviews by practising common questions related to health policy and AI. We recommend doing mock interviews with friends or using online platforms to boost your confidence and refine your answers.
✨Tip Number 4
Don’t forget to apply through our website! It’s quick and easy, plus you’ll be first in line for exciting roles like the AI Data Trainer position. Keep an eye on our listings for new opportunities!
We think you need these skills to ace Health Policy & Management in Manchester
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 how you can contribute to our AI projects. Keep it engaging and relevant to the job description.
Showcase Your Analytical Writing Skills: Since we value clear communication, include examples of your analytical writing. Whether it’s a research paper or a project report, demonstrate your ability to translate complex data into understandable insights.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Alignerr Corp.
✨Know Your Stuff
Make sure you brush up on your knowledge of epidemiology, biostatistics, and health policy. Be ready to discuss how these areas intersect with AI and how they can impact public health. This will show that you’re not just familiar with the theory but can apply it practically.
✨Prepare Real-World Examples
Think of specific scenarios where you've tackled complex public health problems or conducted data analysis. Being able to share these experiences will demonstrate your analytical skills and your ability to translate complex data into actionable insights.
✨Ask Insightful Questions
Prepare some thoughtful questions about Alignerr’s projects and their approach to AI in health policy. This shows your genuine interest in the role and helps you understand how you can contribute to their mission.
✨Showcase Your Attention to Detail
During the interview, highlight your meticulous nature when it comes to checking data accuracy and logical reasoning. You might even want to mention any tools or methods you use to ensure precision in your work, as this is crucial for the role.