Economists: Economic Analysis for AI Training
Terac
Economists: Economic Analysis for AI Training
Terac
No-code AI for unstructured data automation
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.
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.
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.
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
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
$100 per hour
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.
Terac provides a no-code AI platform that automates the handling of unstructured data, turning emails and documents into structured, actionable information. Users build, manage, and scale AI-driven automation for tasks like document classification, data extraction, and email processing without needing extensive AI expertise or large training datasets. Compared with traditional AI tools, Terac focuses on a no-code, end-to-end approach for unstructured data, letting teams deploy automations without coding or separate data-extraction components. Its goal is to improve operational efficiency by reducing manual, repetitive work and speeding up information processing across workflows.
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