About The Role We're looking for economists with public policy experience to help shape how AI understands and communicates economic reasoning. Your expertise will directly influence how the next generation of AI models analyzes regulation, welfare policy, and applied economics — making a real-world impact from wherever you work.

Organization: Alignerr (Powered by Labelbox)

Type: Hourly / Task-based Contract

Location: Remote

Commitment: 10–40 hours/week What You'll Do Review and evaluate AI-generated public policy and applied economics content for accuracy and rigor

Assess economic reasoning across topics including regulation, welfare programs, fiscal policy, and market design

Provide structured, detailed feedback to improve clarity, analytical depth, and real-world relevance

Validate AI-generated policy scenarios, conclusions, and tradeoff analyses using your skilled expertise





Work independently and asynchronously on a schedule that fits your life Who You Are 3+ years of experience working or teaching in public policy, applied economics, or a related field

Strong command of policy analysis frameworks and economic tradeoffs

Able to critically assess written economic arguments and provide clear, constructive feedback

Detail-oriented and reliable when working independently on deadline-driven tasks Nice to Have Graduate degree in Economics, Public Policy, or a related discipline

Background in government, think tanks, policy research, or academia

Familiarity with AI systems or content evaluation workflows Why Join Us Work on cutting-edge AI projects with top research labs

Fully remote and flexible — work on your own schedule

Freelance perks: autonomy, variety, and global collaboration

Contribute to meaningful work that shapes how AI understands economics and public policy

Potential for ongoing work and contract extension

📌 Public Policy Economist (AI Training) (Toronto)
🏢 Alignerr
📍 Toronto