Public Policy Specialist

Public Policy Specialist

Keystone Recruitment is seeking an experienced Public Policy Specialist to support advanced AI research initiatives for one of its clients. This remote, project-based role involves designing, evaluating, and refining policy-related content to enhance AI systems' understanding of governance, regulation, and real-world decision-making.

What You’ll Do

• Create realistic public policy tasks covering domestic and international governance, regulatory frameworks, and social or economic impact analysis.
• Review AI-generated responses for clarity, accuracy, feasibility, and policy relevance.
• Draft high-quality reference materials such as policy memos, stakeholder summaries, and analytical briefs.
• Identify gaps in logic, ethics, or real-world applicability and document areas for improvement.
• Collaborate asynchronously with other subject-matter experts through structured written feedback.

Required Qualifications

• Advanced degree in public policy, law, economics, political science, or a closely related field.
• At least 3 years of professional experience in policy research, government, public affairs, consulting, or a think-tank environment.
• Strong understanding of legislative processes, regulatory analysis, and public-sector decision-making.
• Excellent analytical reasoning, synthesis, and writing skills.
• Ability to assess policy arguments across diverse domains and geopolitical contexts.

Work Details

This is an independent contractor engagement, fully remote, requiring 10+ hours per week with a flexible schedule. Assignments are project-based with defined deliverables and quality benchmarks.

Compensation

The rate ranges from $30 to $80 USD per hour, depending on the scope and complexity of work. Payment is processed weekly via Stripe or Wise.

Key skills/competency

• Public Policy
• Regulatory Analysis
• Governance
• AI Ethics
• Legislative Processes
• Policy Research
• Analytical Reasoning
• Stakeholder Engagement
• Technical Writing
• Geopolitical Context