Senior Technical Specialist, AI Risk Assessment

Location: Anywhere (open globally), fully remote; occasional travel required. U.S. employees must be authorized to work in the United States. Candidates outside the U.S. may be engaged as independent contractors.

Salary: $140,000–$220,000 per year, plus benefits for U.S. employees.

Company

CARMA is a fiscally sponsored research project focused on reducing catastrophic risks from increasingly powerful AI systems through rigorous risk analysis, technical safety, governance, and policy frameworks.

What you will do

• Develop techniques for discovering AI threat models and analyzing societal and sociotechnical risk pathways.
• Model multi-node risk transformation, amplification, propagation, and threshold effects across social systems.
• Design technical governance frameworks and assessment methodologies for catastrophic AI risks, including loss-of-control scenarios.
• Lead quality control for technical research, ensuring conceptual soundness and analytical accuracy.
• Drive original research projects and contribute to technical standards for AI evaluation, risk measurement, and risk thresholding.
• Collaborate across CARMA workstreams and communicate AI risk management findings to technical and non-technical stakeholders.

Requirements

• At least 5 years of experience in AI safety, alignment, and/or governance.
• Strong understanding of causal modeling, Bayesian networks, systems dynamics, or comparable risk modeling approaches.
• Experience with systemic and sociotechnical modeling of risk propagation.
• Strong analytical, written, and verbal communication skills, including the ability to identify subtle flaws in complex arguments.
• Publication record or equivalent demonstrated expertise, independent intellectual rigor, and systems thinking.
• U.S. employees must already be authorized to work in the United States; visa sponsorship is not available.

Nice to have

• Background in complex systems theory, control theory, cybernetics, multi-scale modeling, or dynamical systems.
• Experience at AI safety research organizations, technical AI labs, policy institutions, or adjacent risk domains.
• Experience with technical research quality assurance processes.
• Ability to model threshold effects, nonlinear dynamics, emergent properties, or semi-quantitative hypergraphs.
• Understanding of international dynamics, power differentials, and acute versus aggregate AI risks.

Culture & Benefits

• Fully remote work with a global candidate pool and occasional travel.
• Work within a rigorous, intellectually demanding research environment.
• Opportunity to contribute to AI risk standards, governance frameworks, and policy-relevant research.
• Good benefits are available to U.S. employees.
• Equal opportunity and inclusive hiring practices based on individual merit.