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.
- 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 55 - 55 $ per hour.
- Health Policy & Management - AI Data Trainer
- 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 prioritize scientific consensus and ethical health guidelines.
Work on high-impact projects while earning $35+/hour, fully remote, with flexible weekly hours.
Organization
Organization: Alignerr Position: Health Policy & Management - AI Data Trainer Type: Hourly Contract Compensation: $35-$55 /hour Location: Remote Commitment: 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
- 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.
- #J-18808-Ljbffr
Health Policy & Management in Adelaide employer: Alignerr Corp.
Alignerr offers an exceptional opportunity for finance lecturers to engage in groundbreaking AI projects from the comfort of their own homes. With a fully remote and flexible work environment, you can tailor your schedule to fit your lifestyle while contributing to meaningful advancements in AI-driven financial reasoning. The company fosters a culture of autonomy and global collaboration, providing ample opportunities for professional growth and ongoing contract work.
