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Responsible AI Jobs
Responsible AI roles turn fairness, transparency, and accountability principles into how AI actually gets built and shipped.
Responsible AI roles operationalize the principles, fairness, transparency, accountability, and safety, that decide whether an AI system should ship. They sit close to the engineering and product teams, running bias and fairness reviews, building explainability and documentation, and turning ethics from a statement into a process. The work has grown fast at the AI labs and at every company putting models into real decisions.
Responsible AI overlaps heavily with AI governance and AI safety, and the titles blur, but the throughline is the same: making sure the system behaves the way the organization can stand behind.
Responsible AI Jobs: Frequently Asked Questions
What is a responsible AI job?
A role that puts responsible-AI principles into practice, running fairness and bias reviews, building explainability and documentation, and embedding accountability into how AI is built and deployed.
How is responsible AI different from AI governance?
Responsible AI is closer to the build, the fairness and ethics practices in development, while AI governance is the broader oversight and accountability layer above it. They overlap heavily.
Open Responsible AI Jobs (18)
AI Governance Lead
AI Strategy & Operations Advisor
Privacy and AI Counsel
VP of Data and AI
Senior GRC Specialist
Senior AI GRC Engineer
Privacy Counsel
Compliance Program Assistant Manager
Associate General Counsel, Product and Privacy
Director, Engineering Governance- Bellevue, WA
Director, Engineering Governance- Mountain View, CA
Senior Claims Auditor - DRG
Sr. Machine Learning Engineer, Responsible AI– Applied Research Science
Compliance Reporting Program Manager
Lead Data Governance Specialist
Senior Manager Auditing
Sr. Compliance Reporting Analyst
Director, AI Ethics & Responsible Use
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