Health Policy & Management - AI Data Trainer

Health Policy & Management - AI Data Trainer

Posted 3 days ago by Alignerr

Negotiable
Outside
Remote
Birmingham, England, United Kingdom

Summary: The Health Policy & Management - AI Data Trainer role at Alignerr involves collaborating with AI research teams to train models that provide accurate health information and policy analysis. Candidates will utilize their Masters in Public Health (MPH) expertise to evaluate AI outputs and ensure adherence to ethical health guidelines. This fully remote position offers flexible hours and competitive pay. The role focuses on developing public health scenarios, authoring solutions, and refining AI reasoning in health contexts.

Key Responsibilities:

  • Design advanced public health scenarios involving disease outbreak simulations and health equity assessments.
  • Create rigorous, step-by-step responses that synthesize peer-reviewed research and current public health guidelines.
  • Evaluate AI-generated health advice for accuracy, bias, and adherence to ethical standards.
  • Provide structured feedback to improve AI's ability to communicate risks and distinguish between correlation and causation.

Key Skills:

  • Masters in Public Health (MPH) or closely related graduate degree.
  • Strong foundational knowledge in Epidemiology, Biostatistics, Environmental Health, or Health Policy.
  • Ability to translate complex health data into clear, actionable written information.
  • High attention to detail in checking statistical significance and data citations.
  • Preferred experience with data annotation, data analysis software (R, SAS, Stata), and health communication.

Salary (Rate): £55.00/hour

City: Birmingham

Country: United Kingdom

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: Mid-Level

Industry: IT

Detailed Description From Employer:

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.

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.