Member of Technical Staff, Economics Research

• Design and evolve evaluation frameworks for AI systems in economic domains, including benchmarks, scoring methodologies, and quality rubrics.
• Conduct research on economic reasoning and empirical analysis, translating findings into measurable improvements in AI performance.
• Develop datasets, test cases, and benchmark environments reflecting real-world economic research and policy challenges.
• Collaborate with researchers, economists, engineers, and product teams to evaluate and improve economics-focused AI models and agentic systems.
• Analyze model behavior and failure modes to identify research opportunities and improve model performance.
• Apply econometric methods, causal inference, and statistical analysis to evaluate AI capabilities on economic tasks.
• Produce technical reports, research findings, and best practices that advance AI evaluation in economics.
• Stay current with advances in AI, econometrics, and economic research, incorporating new techniques into evaluation methodologies.

• PhD in Economics or a closely related quantitative field.
• 3–5 years of post-PhD experience in applied economic research (industry, academia, or public policy).
• Expertise in one or more areas such as labor economics, macroeconomics, industrial organization, productivity, technological change, or AI economics.
• Strong background in econometrics, applied microeconomics, and causal inference.
• Experience working with large datasets using SQL and statistical programming languages such as Python or R.
• Demonstrated experience conducting empirical research or developing analytical methodologies.
• Strong analytical, critical-thinking, and problem-solving skills.
• Excellent written and verbal communication skills, with experience producing research papers, technical reports, or policy briefs.
• Experience collaborating across research, engineering, product, or policy teams.

• Experience developing or evaluating economics-focused AI, agentic workflows, or benchmarking environments.
• Familiarity with enterprise AI challenges and opportunities for economic research.
• Prior participation in cross-functional research initiatives bridging economics, engineering, and product development.

Project and contracting process: micro1. Applications continue on the provider's website.