Public Policy Economist (AI Training)
New Today
About The Role
AI is increasingly being used to analyze policy, model economic tradeoffs, and inform public debate — and it needs expert guidance to get it right. We’re looking for economists with public policy experience to help evaluate and improve how AI systems reason about regulation, welfare programs, fiscal policy, and applied economics.
Organization: Alignerr (Powered by Labelbox)
Type: Hourly / Task-based Contract
Location: Remote
Commitment: 10–40 hours/week
What You’ll Do
Review AI-generated responses to public policy and applied economics questions for accuracy, rigor, and real-world relevance
Evaluate economic reasoning across topics, including regulation, welfare, taxation, and public programs
Identify flawed assumptions, weak arguments, or misleading conclusions in AI outputs
Provide structured, detailed written feedback to improve the quality of AI training data
Validate policy scenarios and economic conclusions using your professional expertise
Work independently and asynchronously on a schedule that suits you
Who You Are
3+ years of experience working or teaching in public policy, applied economics, or a related field
Strong grasp of policy analysis frameworks and economic tradeoff evaluation
Able to critically assess written economic arguments and recommendations
Comfortable providing detailed, structured written feedback
Self‑motivated and reliable when working independently
Nice to Have
Graduate degree in Economics, Public Policy, or a related discipline
Background in government, think tanks, academic research, or policy consulting
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 public policy
Potential for ongoing work and contract extension
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- Location:
- City Of Edinburgh
- Job Type:
- FullTime