About The Role We're looking for experienced economists with a public policy background to help shape how AI understands and reasons about the real world. Your expertise will directly influence how AI models analyze regulation, evaluate welfare programs, and navigate complex economic tradeoffs — work that matters at the frontier of AI development.
Organization: Alignerr (Powered by Labelbox)
Type: Hourly Contract
Location: Fully Remote
Commitment: 10–40 hours/week What You'll Do Review and evaluate AI-generated public policy analysis and applied economics content for accuracy, rigor, and real-world relevance
Assess economic reasoning across topics like regulation, welfare policy, fiscal programs, and market design
Provide explicit, structured feedback to improve the quality and clarity of AI outputs
Validate policy scenarios, conclusions, and economic recommendations against sound academic and professional standards
Work independently and asynchronously — on your schedule, at your pace Who You Are 3+ years of experience working or teaching in public economics, applied economics, or a related policy field
Strong command of policy analysis and the ability to evaluate economic arguments critically
Skilled at identifying flawed reasoning, unsupported conclusions, or unclear explanations
Comfortable producing detailed, well-organized written feedback
Self-motivated and reliable with the ability to meet project deadlines independently Nice to Have Graduate degree in Economics, Public Policy, or a related discipline
Professional background in government, think tanks, academic research, or policy consulting
Prior exposure to AI content evaluation or data labeling workflows Why Join Us Work on cutting-edge AI projects with top research labs
Fully remote and flexible — design your own schedule
Freelance perks: autonomy, variety, and global collaboration
Get hands-on exposure to advanced large language models and how they're trained
Contribute to meaningful work that improves how AI handles real-world economic and policy questions