Economics Researcher | Remote

Crossing Hurdles; United States; Remoto; USD 400.000 - 800.000; Tempo pieno

Descrizione del lavoro

Crossing Hurdles is seeking a Member of Technical Staff, Economics Research to design evaluation frameworks for AI systems in economic domains. You will develop benchmarks, conduct econometric analyses, and collaborate with researchers and engineers to advance AI evaluation in economics.

The role is remote and requires a PhD in economics or related field with 3+ years post-PhD experience, strong econometrics skills, and experience with SQL and Python or R. Excellent communication is essential.

Competenze

• PhD in Economics or closely related quantitative field required.
• 3+ years post-PhD experience in applied economic research preferred.
• Strong econometrics, microeconomics, and causal inference background.
• Experience with large datasets and statistical programming (Python/R).

Mansioni

• Design evaluation frameworks for AI in economic domains, including benchmarks and scoring methods.
• Conduct econometric and empirical analyses to improve AI performance.
• Develop datasets and benchmark environments reflecting real-world economic research.
• Collaborate with researchers, economists, engineers, and product teams on economics-focused AI models.
• Analyze model behavior and failure modes to identify research opportunities.
• Apply econometric methods to evaluate AI capabilities on economic tasks.
• Produce technical reports and research findings to advance AI evaluation in economics.

Conoscenze

Econometrics

Applied microeconomics

Causal inference

Empirical research

Communication skills

Formazione

PhD in Economics or closely related quantitative field

Strumenti

SQL

Python

R

Descrizione del lavoro

Position: Member of Technical Staff, Economics Research

Type: Full-time

Compensation: $400,000 $800,000/yr

Location: Remote

Commitment: 10-40 hrs/week

Role Responsibilities

• Design and evolve evaluation frameworks for AI systems in economic domains, including benchmarks and scoring methodologies.
• Conduct research on economic reasoning and empirical analysis to improve AI performance.
• Develop datasets and benchmark environments reflecting real-world economic research challenges.
• Collaborate with researchers, economists, engineers, and product teams to enhance economics-focused AI models.
• Analyze model behavior and failure modes to identify research opportunities.
• Apply econometric methods and statistical analysis to evaluate AI capabilities on economic tasks.
• Produce technical reports and research findings to advance AI evaluation in economics.

Requirements

• PhD in Economics or a closely related quantitative field.
• 3 of post-PhD experience in applied economic research.
• Expertise in areas such as labor economics, macroeconomics, or AI economics.
• Strong background in econometrics, applied microeconomics, and causal inference.
• Experience with large datasets using SQL and statistical programming languages such as Python or R.
• Demonstrated experience conducting empirical research or developing analytical methodologies.
• Excellent written and verbal communication skills.