AI Safety Research Volunteer Healthcare AI Failure Modes (Remote)

Job Description

AI Safety Researcher - Healthcare & High-Risk Failure Modes (Volunteer)

Location: San Francisco, CA

• Remote (Fully Remote) Compensation: Unpaid (Volunteer) Work Type: Flexible Hours
  
  

Role Overview

The BRITE Institute is expanding a structured AI safety initiative focused on identifying, analyzing, and documenting AI failure modes in healthcare and other high-risk environments. We are seeking a scalable research framework to support continuous AI failure mode collection and analysis through a standardized workflow.

Key Responsibilities

• Identify and analyze healthcare-specific and general AI failure modes.
• Research documented AI system failures and assess deployment/operational risks.
• Categorize AI model types associated with failures.
• Document deployment conditions and recurring failure environments.
• Enter structured findings into standardized research systems (shared spreadsheets, etc.).
• Support the production of research outputs and mitigation strategies.
• Participate in collaborative, iterative feedback loops to maintain high accuracy.
  
  

Requirements & Skills

Preferred Candidates: Graduate students, recent graduates, research assistants, or technically/clinically oriented contributors.

Essential Traits

• Detail-oriented and highly organized.
• Able to follow structured directions and work independently.
• Responsive, reliable, and capable of adapting to evolving processes.
• Proficient in using collaborative digital tools (Slack, Zoom, Google Docs/G Meet, Spreadsheets).
  
  

Preferred Backgrounds & Technical Focus

Domains: AI/ML, Healthcare, Biomedical Engineering, Computer Science, Cybersecurity, Medical Research, Public Health, Neuroscience, Data Science, or Policy/Governance.

Technical Experience (Especially Encouraged)

• Computer Vision
• Signal Processing & Sensor Systems
• Medical Imaging
• Real-time AI Systems
• Adversarial AI/ML
  
  

Benefits for Volunteers

• Exposure to emerging AI safety research.
• Structured research experience and interdisciplinary AI/healthcare exposure.
• Opportunities for publication-oriented collaboration.
• Mentorship and operational research experience.
• Hands-on skills in a rapidly growing field shaping the future of healthcare and technology.