AI Content Specialist

About The Role

Alignerr partners with leading AI research labs to build and train AI models. This role focuses on shaping how AI understands population health, epidemiology, and health policy, ensuring it reflects scientific consensus, equity principles, and ethical standards.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

Key Responsibilities

• Design Complex Public Health Scenarios — Create advanced challenges involving disease outbreak simulations, health equity assessments, clinical trial interpretation, and policy analysis to rigorously test AI reasoning.
• Author Ground-Truth Solutions — Write rigorous, step-by-step responses grounded in peer-reviewed research, epidemiological data, and current guidelines from bodies like the CDC and WHO.
• Audit AI Outputs — Evaluate AI-generated health advice and policy recommendations for accuracy, bias, logical consistency, and adherence to ethical standards. Identify misinformation and reasoning gaps.
• Refine AI Reasoning — Provide structured, expert feedback to help models distinguish correlation from causation, communicate health risks clearly, and serve diverse populations equitably.

Requirements & Tech Stack

• Master's degree in Public Health (MPH), Master of Science in Public Health (MSPH), or a closely related graduate-level field.
• Strong foundational knowledge in at least two of: Epidemiology, Biostatistics, Environmental Health, or Health Policy.
• Ability to translate complex health data into clear, accurate, and culturally sensitive written content.
• High attention to detail — especially when reviewing statistical significance, data citations, and the logic of health interventions.
• No prior AI experience needed.

Nice To Have

• Experience with data annotation, quality evaluation, or research coordination.
• Familiarity with data analysis tools such as R, SAS, or Stata.
• Background in health communication, clinical research, or public health surveillance.