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How much do artificial intelligence policy jobs pay per year?

As of Jun 10, 2026, the average yearly pay for artificial intelligence policy in the United States is $131,692.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $145,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Artificial Intelligence Policy position, and why are they important?

To thrive in Artificial Intelligence Policy, you need a deep understanding of AI technologies, data privacy laws, and regulatory frameworks, typically supported by an advanced degree in law, public policy, or a related technical field. Familiarity with regulatory analysis tools, standards organizations, and policy research databases is commonly required, and certifications in AI ethics or compliance can be advantageous. Strong analytical thinking, persuasive communication, and stakeholder management skills distinguish top professionals in this field. These competencies are crucial to effectively shaping, evaluating, and implementing responsible AI policies that balance innovation with societal and legal considerations.

What is an Artificial Intelligence Policy job?

An Artificial Intelligence Policy job focuses on developing, analyzing, and advising on policies related to the ethical, legal, and societal impacts of AI. Professionals in this field work with governments, organizations, and businesses to ensure AI technologies align with regulations, fairness, and responsible innovation. Their tasks may include drafting legislation, creating corporate AI governance frameworks, and assessing AI-related risks. These roles require expertise in technology, law, ethics, and public policy to navigate the evolving landscape of AI governance.

What does a typical week look like for someone working in Artificial Intelligence Policy?

A typical week in Artificial Intelligence Policy involves conducting policy analysis, engaging with cross-functional teams (such as legal, technical, and governmental affairs), and drafting recommendations or position papers on emerging AI issues. You may attend meetings with industry leaders, regulators, or advocacy groups to discuss best practices and interpret new regulations. The role often includes staying up-to-date on global policy developments, preparing briefings, and organizing or participating in public forums or stakeholder workshops. This dynamic environment requires adaptability and a passion for shaping the future of responsible AI use.

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Artificial Intelligence Policy jobs near you
Infographic showing various Artificial Intelligence Policy job openings in the United States as of June 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution, with an average salary of $131,692 per year, or $63.3 per hour.
Intermediate Artificial Intelligence Analyst

Intermediate Artificial Intelligence Analyst

Chenega MIOS SBU

Arlington, VA • On-site

Full-time

Posted 10 days ago

Job description

Job Summary:
Chenega MIOS is a company that supports large-scale government operations by leveraging cutting-edge technology. The Intermediate Artificial Intelligence Analyst provides scientific, engineering, and technical expertise in AI to support Army technology initiatives.
Responsibilities:
• Analyze, evaluate, revise, and/or generate draft artificial intelligence documentation for Government review and approval, including policy documents, letters of agreement, memoranda of understanding, Mission Needs Statements, Concepts of Operation (ConOps), Operational Requirements Documents, system specifications, Test and Evaluation Master Plans, and training documentation.
• Conduct research activities for exploratory and advanced AI projects to advance technological capabilities.
• Evaluate industry, outside agencies, and university technologies for applicability to Army Intelligence AI and adopt technologies as appropriate.
• Develop and evaluate AI and data system requirements to determine technical feasibility and functional adequacy for current and future systems.
• Have a clear understanding of the MLOps pipeline to support an end-to-end workflow that manages the entire lifecycle of machine learning models—from data ingestion and preprocessing to model training, evaluation, deployment, and monitoring.
• Integrate emerging technological advances and evolving Army materiel requirements into the execution of technical tasks.
• Maintain direct and continuing technical liaison with Government offices, laboratories, contractors, and academic institutions in the AI technical domain.
• Provide support for studies, technology evaluations, and the development, review, and maintenance of policy, technical, and doctrinal documentation, repositories, and databases.
• Support the planning, management, and execution of representative systems and associated technical activities.
• Participate in conferences, briefings, meetings, working groups, and teams, including the creation and delivery of high-quality briefing materials and tracking of action items.
• Other duties as assigned.
Qualifications:
Required:
• Bachelor’s of Science in a Science, Technology, Engineering, or Math field and 15+ years of experience OR
• Master’s of Science in a Science, Technology, Engineering, or Math field and 10+ years of experience OR
• PhD of Science in a Science, Technology, Engineering, or Math field and 5+ years of experience
• Active TS/SCI clearance required
• Demonstrated knowledge of AI, including feasibility analysis and performance requirements
• Deep understanding of Machine Learning (ML) lifecycle
Preferred:
• AWS Certified AI Practitioner or comparable certification
Company:
Chenega MIOS (Military, Intelligence, and Operations Support) brings together a family of high‑performing companies united by a common purpose: supporting the most critical missions of the federal government, the Department of Defense, and the Intelligence Community. Founded in 2010, the company is headquartered in Lorton, VA, US, , with a team of 1001-5000 employees. The company is currently Late Stage.

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