Member of Technical Staff, Economics Research

SaidGig; New York (NY); Remote; USD 200.000 - 800.000; Vollzeit

Benefits dieser Stelle

Equity compensation

Zusammenfassung

SaidGig seeks a PhD-level economist to shape AI reasoning in economics. You will design evaluation frameworks, develop datasets and benchmarks, and collaborate with researchers, engineers, and product teams to advance AI capabilities in economic tasks.

You will apply econometrics, causal inference, and empirical methods to measure model performance, produce reports, and drive improvements in cross-functional projects.

Qualifikationen

• PhD in Economics or closely related quantitative field.

Aufgaben

• Design and refine evaluation frameworks for AI in economic domains, including benchmarks, scoring methods, and quality rubrics.

Kenntnisse

Economics PhD knowledge

Applied econometrics

Causal inference

SQL

Python

R

Communication skills

Cross-functional collaboration

Ausbildung

PhD in Economics

Post-PhD experience 3–5 years

Tools

SQL

Python

R

Jobbeschreibung

Shape how AI systems reason through complex economic research, empirical analysis, and policy challenges. In this remote, full-time role, you will develop rigorous evaluation methods, datasets, and benchmarks for economics-focused AI models and agentic workflows.

Role Overview

Working at the intersection of large language models, agentic systems, and economics, you will conduct applied research and build evaluation frameworks that measure and improve AI performance on economic reasoning and research tasks. You will collaborate with researchers, economists, engineers, and product teams to advance economics-focused AI capabilities.

Key Responsibilities

• Design and refine evaluation frameworks for AI in economic domains, including benchmarks, scoring methods, and quality rubrics.
• Research economic reasoning and empirical analysis, then translate findings into measurable model improvements.
• Create datasets, test cases, and benchmark environments based on real-world economic research and policy challenges.
• Evaluate and improve economics-focused AI models and agentic systems with cross-functional partners.
• Analyze model behavior and failure modes to identify research opportunities and improve performance.
• Apply econometrics, causal inference, and statistical analysis to assess AI capabilities on economic tasks.
• Produce technical reports, research findings, and best practices for AI evaluation in economics.
• Incorporate relevant advances in AI, econometrics, and economic research into evaluation methodologies.

Qualifications

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

Preferred Qualifications

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

Work Terms

Remote, full-time position.

Compensation

The listing states yearly compensation of $400, 000 to $800, 000. It also states a national base-salary range of $200, 000 to $250, 000 for this full-time role. Equity is referenced as part of compensation eligibility, though additional details are not provided.

Eligibility

Employees are eligible for equity compensation, subject to the employer''s applicable terms.