Health Policy & Management

Alignerr Corp.

Wellington

A distancia

NZD 86.000 - 135.000

A tiempo parcial

Hace 5 días
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Ventajas ofrecidas por este puesto de trabajo

Competitive pay
Remote work
Renewals potential

Descripción de la vacante

Alignerr is seeking Masters in Public Health (MPH) graduates for a remote, hourly contract to train AI models on population health, biostatistics, and global health equity. You will challenge LLMs and develop complex health scenarios while earning $35–$55 per hour and committing 10–40 hours per week.

The role emphasizes evidence-based guidance, ethical health standards, and international collaboration with leading AI research teams. Flexibility and remote work are core.

Formación

  • Advanced degree in public health or related field.
  • Strong analytical writing and ability to translate data into clear health guidance.
  • Experience with epidemiology, biostatistics or health policy concepts.

Responsabilidades

  • Design advanced public health scenarios for model testing.
  • Create ground-truth solutions sourced from peer-reviewed research and guidelines.
  • Audit AI-generated health content for accuracy, bias and ethics.
  • Provide structured feedback to improve model reasoning on health risks.

Conocimientos

Analytical writing
Epidemiology
Biostatistics

Educación

MPH/MSPH or related graduate degree

Herramientas

R
SAS
Stata

Descripción del empleo

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: 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.
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