About the role
What We're Researching
We're running a paid study to improve how artificial intelligence handles complex economic reasoning. By gathering real economic analysis, we aim to build better benchmarks for AI performance in areas like forecasting, antitrust, and trade policy. This work directly feeds into the development of more accurate and reliable analytical tools.
How It Works
You will work remotely to translate your hands-on economic expertise into structured training tasks. During the project, you will review model outputs, evaluate economic arguments, and create detailed prompts based on real-world impact studies. The work is asynchronous and requires a commitment of 20+ hours per week. You will use our platform to submit your analysis and provide feedback on the AI's reasoning capabilities.
Who This Is For
We welcome practicing economists with hands-on experience in applied economic analysis. Professionals with backgrounds in forecasting, public policy, antitrust, trade, or economic impact studies are highly encouraged to apply. You should be comfortable breaking down complex economic concepts into clear, evaluate-able steps.
What You'll Do
- Translate real economic analysis into structured tasks for AI training
- Evaluate model outputs for accuracy in forecasting, policy, and trade
- Create detailed prompts based on economic impact studies
- Commit 20+ hours per week to asynchronous remote work
Who Should Apply
- Practicing economist with hands-on analytical experience
- Background in forecasting, antitrust, trade, or policy analysis
- Comfortable breaking down complex economic arguments
- Available to dedicate 20+ hours per week to the project
Compensation
$100 per hour
Ready to participate?
Start your paid interview now
About Terac
Terac is building the world's largest pool of vetted human experts for AI. Researchers, AI labs, and product teams use Terac to recruit, screen, and pay study participants across industries, languages, and skill sets.
Learn more at terac.com or on YouTube at @jointerac.