Economic Analyst for AI Training (Fully Remote)

Terac; United States; Remote; USD 55,000 - 83,000; Part time

Benefits offered by this job

Remote work

Job summary

Terac is seeking practicing economists to help enhance AI's economic reasoning by applying real-world analysis to training tasks. You will translate expertise into accessible benchmarks and review model outputs in forecasting, antitrust, and trade policy contexts.

Remote, part-time engagement requiring 20+ hours per week and asynchronous collaboration. Ideal candidates have applied economics experience and can break down complex economic concepts for evaluation and tooling development.

Qualifications

• Economist with applied analysis experience.
• Experience forecasting, public policy, antitrust, trade, or economic impact studies.
• Ability to explain complex economic concepts clearly.

Responsibilities

• Translate economic expertise into training tasks for AI models.
• Review model outputs and evaluate economic arguments.
• Commit 20+ hours per week to asynchronous work.

Skills

Applied econ

Forecasting

Antitrust analysis

Trade policy

Economic impact

Education

PhD in Economics

Job description

• Improve AI's economic reasoning through real economic analysis
• Build better benchmarks for AI performance in forecasting, antitrust, and trade policy
• Contribute to more accurate and reliable analytical tools

How It Works:

• Work remotely to translate economic expertise into training tasks
• Review model outputs and evaluate economic arguments
• Commit 20+ hours per week to asynchronous work

Who This Is For:

• Practicing economists with applied economic analysis experience
• Backgrounds in forecasting, public policy, antitrust, trade, or economic impact studies
• Comfortable breaking down complex economic concepts

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.