AI Safety Research Volunteer — Healthcare AI Failure Modes (Remote)

Already, 1 in 10 patients are harmed during their medical care. Our 501c3 nonprofit works to ensure AI improves patient care rather than putting it at greater risk.We host a variety of remote volunteer opportunities. From researching the use of AI in diagnostics to creating patient education tools, and from liaising with industry to investigative journalism - BRITE Institute offers diverse ways to use your skills to save lives.,About The InitiativeThe 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.This initiative is building a scalable research and intelligence framework.The project operates through a standardized research workflow and collaborative system.We are now expanding the research layer to support larger-scale continuous AI failure mode collection and analysis.Volunteer Roles AvailableWe are seekinggraduate school internsrecent graduatesresearch assistantstechnically oriented contributorsclinically informed contributorsAI/ML-focused researchersThis is a fully remote and unpaid volunteer opportunity.What You Will DoContributors may assist withidentifying healthcare AI failure modesresearching documented AI system failuresanalyzing deployment and operational riskscategorizing AI model types associated with failuresdocumenting deployment conditions and recurring failure environmentsentering structured findings into standardized research systemssupporting publication-oriented research outputscontributing to mitigation strategy developmentIdeal Candidate ProfileWe are looking for contributors who aredetail-orientedhighly organizedable to follow directions and guidanceresponsive and reliablecomfortable following structured workflowsable to work independentlyadaptable to evolving research processescapable of producing high-quality work within standardized systemsStrong candidates are comfortable withresearch-intensive workdocumentation accuracycollaborative systemsiterative feedbackand maintaining consistency across structured workflowsPreferred BackgroundsHelpful backgrounds includeAI/MLhealthcarebiomedical engineeringcomputer sciencecybersecuritymedical researchpublic healthneurosciencedata sciencehealthcare operationspolicy/governance researchTechnical contributors with experience incomputer visionsignal processingsensor systemsmedical imagingreal-time AI systemsadversarial AI/MLare especially encouraged to apply.Important NotesThis initiative is fast-moving, systems-oriented, and research intensive. Contributors should be comfortablelearning new workflows quicklyoperating within standardized systemsreceiving structured feedbackcontributing consistently within collaborative research environmentsand must be comfortable using collaborative digital tools and remote workflows, including Slack, Zoom, Google Meet, Google Docs, and shared spreadsheet systems for communication, coordination, and structured research data entry Because this work may contribute to future publications, policy frameworks, and advanced AI safety initiatives, professionalism, reliability, and attention to detail are extremely important.What You’ll GainVolunteers may gainexposure to emerging AI safety researchstructured research experiencepublication-oriented collaborationinterdisciplinary AI/healthcare exposuresystems-thinking experiencementorship and operational research experience within a growing AI safety initiativegain hands-on exposure to the rapidly growing AI/ML industry while building relevant research, technical, and operational skills within an emerging field shaping the future of healthcare and technologyand more!Remote Volunteer Unpaid Flexible Hours