Curated roles
Browse compliance, risk, assurance and responsible AI roles that help organizations deploy AI systems safely and accountably.
119 active roles found.
Lead data governance for AI training and evaluation data, including provenance, DPIAs, compliance controls, audit evidence, and regulatory readiness for shipped models.
The Privacy Compliance Counsel will develop and implement a global privacy program, ensuring compliance with regulations like GDPR and the EU AI Act, while advising on privacy law and AI ethics.
The role involves ensuring compliance with regulatory and ethical standards in AI operations, focusing on risk management and security compliance in AI development and deployment.
Optro is seeking a Senior Product Counsel to provide legal strategy for cloud-based solutions, focusing on compliance with AI regulations and responsible AI use.
The role involves providing legal and compliance data annotations to enhance AI models, focusing on regulatory compliance and contract analysis.
The Staff Technical Product Manager will lead product development for Scale's Global Defense business, focusing on AI-powered solutions for national security and defense workflows.
Manager role in IFS Trust Office focused on AI governance, compliance, risk assessments, model assurance, audit readiness, and customer-facing trust evidence for AI systems.
The role involves deploying Valthos's platform in customer environments, focusing on understanding user needs and integrating AI systems to address biological threats.
The Applied AI Engineer role focuses on developing ML methods for assessing biological threats and creating evaluation frameworks for model performance.
The role involves designing and building production systems for evaluating and securing frontier AI models.
Responsible AI internship focused on AI policy, regulation, and the legal, societal, and ethical implications of AI.
Policy Officer role supporting supervisory work on AI compliance, with a focus on monitoring generative AI providers and EU AI Act implementation and enforcement.
Applied scientist role focused on AI risk assessment and model evaluation, including safety/reliability evaluations, failure modes, vulnerabilities, and AI-specific risks for responsible AI deployment.
Senior data science role focused on AI risk assessment, model evaluation, and pricing frameworks for insuring AI systems; directly relevant to AI risk management and responsible AI.
The role focuses on detecting insider threats and safeguarding sensitive AI assets through security engineering, including developing detection rules and automating investigation workflows.
Senior technical role focused on assessing advanced AI system risks, threat modeling, and designing governance frameworks for catastrophic AI risk management.
Lead development of front-end interfaces for an LLM evaluation platform, focusing on model behavior understanding.
The role involves probing AI models for vulnerabilities, analyzing their behavior under attack scenarios, and investigating system misuse to recommend mitigations.
The role involves leading research and development for AI testing and evaluation, influencing AI policy and technical standards.
Full stack engineer building a technical foundation for responsible AI and governing AI, with explicit focus on detecting and preventing harms from misaligned models.