AI Safety Research Volunteer Healthcare AI Failure Modes (Remote)
Job DescriptionAI Safety Researcher - Healthcare & High-Risk Failure Modes (Volunteer)Location: San Francisco, CA Remote (Fully Remote) Compensation: Unpaid (Volunteer) Work Type: Flexible HoursMachine Learning & Artificial IntelligenceRole OverviewThe 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 ResponsibilitiesIdentify 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 & SkillsPreferred Candidates: Graduate students, recent graduates, research assistants, or technically/clinically oriented contributors.Geographic ReferenceEssential TraitsDetail-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 FocusDomains: AI/ML, Healthcare, Biomedical Engineering, Computer Science, Cybersecurity, Medical Research, Public Health, Neuroscience, Data Science, or Policy/Governance.Technical Experience (Especially Encouraged)ScienceComputer VisionSignal Processing & Sensor SystemsMedical ImagingReal-time AI SystemsAdversarial AI/MLBenefits for VolunteersExposure 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.