Economics Research MTS Focused on AI Evaluation and Economic Analysis
Listing checked September 4, 2026 · pay as published by micro1
Overview
A remote, full-time role focused on AI-driven economic reasoning. You’ll design and test evaluation methods for AI systems across economic tasks, collaborating with researchers, economists, engineers, and product teams to push the boundaries of economics-informed AI. Expect to build datasets, benchmarks, and quality rubrics that reflect real-world economic research and policy challenges. Economics and AI evaluation are at the core of this work.
What You'll Do8
- 1Design and refine evaluation frameworks for AI in economic contexts, including benchmarks, scoring systems, and quality rubrics.
- 2Perform applied economic research and translate results into measurable AI performance gains.
- 3Create datasets, test scenarios, and benchmark environments that mirror actual economic research and policy problems.
- 4Partner with researchers, economists, engineers, and product teams to assess and enhance economics-focused AI models and agentic systems.
- 5Examine model behavior to identify failure modes and opportunities for improving performance.
- 6Apply econometric methods, causal inference, and statistical analysis to evaluate AI capabilities on economic tasks.
- 7Produce technical reports and best practices to advance AI evaluation in economics.
- 8Stay updated on advances in AI, econometrics, and economic research and incorporate new techniques into methods.
Requirements3
- 1PhD in Economics or a closely related quantitative field.
- 23–5 years of post-PhD experience in applied economic research (industry, academia, or public policy).
- 3Expertise in labor economics, macroeconomics, industrial organization, productivity, technological change, or AI economics.
Who Should Apply
The ideal candidate holds a PhD in economics or a similar quantitative field with hands-on experience in applied economic research. They should have strong econometrics, causal inference, and data analysis skills, plus experience with SQL and Python or R. The role is less suitable for someone without a strong research track, or without experience handling large datasets or collaborating with cross-functional teams. Common rejection reasons include a weaker background in econometrics or lacking experience in empirical research and cross-team collaboration.
Salary Insight
The posted range is 200,000–250,000 USD annually for this full-time position, with equity and potential bonuses. Pay details are provided during the offer process and may vary by location and experience.
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Compensation
$7–8/hr
Required Skills
Application Tip
Highlight a concrete example of an economics-focused AI project, including dataset size, methods (e.g., causal inference approach), and measurable performance improvements to demonstrate fit for AI evaluation in economics.
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