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Public policy economist (ai training)

Melbourne
Alignerr
Economist
Posted: 3 May
Offer description

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 clear, structured feedback to improve the quality and clarity of AI outputs
* Validate policy scenarios, conclusions, and economic recommendations against sound academic and professional standardsWork 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
* Potential for ongoing work and contract extension
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