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AI Policy Analyst




June 21, 2024

About the organization


Responsible AI Institute

Organization type

Social Impact Organization

In A Nutshell


Remote Anywhere in USA or Canada



Job Type


Experience Level


Deadline to apply

June 21, 2024

As AI Policy Analyst – Member Delivery, you will play a key role in member engagement, assessment development and policy asset building among other duties.


  • Member Engagement: You will partner and collaborate closely with cross-functional teams at our member organizations to deliver RAI Institute’s assessments (organizational maturity assessment, system assessment, supplier assessment), including scheduling, organizing, and facilitating assessment workshops and developing reports, policies, recommendations, and presentations.
  • Assessment Development: You will play an active role in developing RAI Institute’s assessments and mapping product and governance standard requirements to regulatory frameworks like the EU AI Act, ISO/IEC 42001, NIST AI RMF, and sector-specific frameworks.
  • Certification Development: You will guide the development and roll-out of RAI Institute’s certification program and lead the development of accompanying certification guidance.
  • Policy Asset Building: You will co-lead the development of RAI Institute policy assets, including those related to regulatory compliance, organizational and system maturity, procurement, and GenAI.
  • Research and Publications: You will produce written reports (e.g. white papers, academic papers, and blog posts) outlining RAI Institute products, industry developments, or relevant research on issues related to responsible AI.


  • Bachelor’s degree in public policy, computer science, business, engineering, law, or a relevant field or equivalent practical experience.
  • 2+ years of professional experience in policy analysis and delivery, preferably in areas related to the responsible use of AI, AI governance, AI standardization, AI risk assessment, or AI auditing.
  • Knowledge and understanding of industry trends, best practices, and regulatory frameworks related to AI development, procurement, deployment, and use across the US, EU, Canada, UK, and elsewhere. A STEM background and/or data science knowledge and familiarity with AI and machine learning technologies is a plus, but not required.
  • Analytical mindset with problem-solving skills, attention to detail, and the ability to interpret regulatory requirements and assess their impact on business operations.
  • Exceptional verbal and written communication skills and strong ability to conduct research and articulate concepts and strategies effectively.
  • Demonstrated presentation and communication skills in executive and managerial leadership contexts.
  • Demonstrated project management skills, including planning, monitoring, problem-solving, and on-time delivery of work.
  • Collaborative mindset, working effectively with cross-functional teams and stakeholders at different levels.

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