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 the quality of AI-generated policy analysis — making a real impact on how the next generation of AI models approaches regulation, welfare 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 and evaluate AI-generated public policy questions, analyses, and explanations used in AI training
- Assess economic reasoning across topics such as regulation, welfare programs, fiscal policy, and public goods
- Provide structured, detailed feedback to improve the clarity, rigor, and real-world relevance of AI outputs
- Apply your applied economics experience to validate scenarios, arguments, and policy conclusions
- Work independently and asynchronously on your own schedule
Who You Are
- 3+ years of experience working or teaching in public economics, applied economics, or policy analysis
- Strong command of economic theory and policy tradeoffs
- Skilled at critically evaluating written economic arguments and recommendations
- Clear and precise written communicator — comfortable providing detailed, actionable feedback
- Self-motivated and reliable working independently in a remote environment
Nice to Have
- Graduate degree in Economics, Public Policy, or a related field
- Professional experience in government agencies, think tanks, or policy research organizations
- 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 improves how AI reasons about real-world policy
- Potential for ongoing work and contract extension