About The Role
We’re seeking economists with public policy experience to help assess and improve AI-generated policy analysis and applied economics content.
Organization: Alignerr (Powered by Labelbox)
Location: Remote
Type: Hourly / Task-based Contract
Compensation: $35-70 /hour
Commitment: 10-40 hours/week
What You’ll Do
Review policy-focused economics questions and explanations used in AI training.
Evaluate economic reasoning related to regulation, welfare, and public programs.
Provide structured feedback to improve clarity, rigor, and real-world relevance.
Apply applied economics experience to validate scenarios and conclusions.
Work independently and asynchronously to meet project deadlines.
Who You Are
3+ years of experience teaching or working in public or applied economics.
Strong understanding of policy analysis and economic tradeoffs.
Able to assess written economic arguments and recommendations.
Comfortable providing detailed written feedback.
Nice to Have
Graduate degree in Economics or Public Policy.
Experience in government, think tanks, or policy research.
Familiarity with AI or content evaluation workflows.
Why Join Us
Competitive pay and flexible remote work.
Lead a team working on cutting-edge AI projects.
Exposure to advanced LLMs and how they’re trained.
Freelance perks: autonomy, flexibility, and global collaboration.
Potential for contract extension.
Application Process (Takes 10-15 min)
Submit your resume
Complete a short screening
Project matching and onboarding
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
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