Remote | Member of Technical Staff, Economics Research — $400,000–$800,000/year
About The Position
This full-time, fully remote research opportunity is for an experienced economist to develop rigorous frameworks for measuring and advancing AI performance across complex economic reasoning and research workflows. The role sits at the intersection of economics, large language models, agentic systems, and applied AI research. The successful candidate will design economics-focused evaluation frameworks, develop datasets and benchmarks, investigate model behaviour and failure modes, and collaborate across research, engineering, product, and policy-oriented teams. The work involves economic research, econometrics, causal inference, empirical analysis, benchmark development, dataset creation, model evaluation, and agentic economic workflows. Research may span labour economics, macroeconomics, industrial organisation, productivity, technological change, AI economics, enterprise AI, and related areas. Regular collaboration with interdisciplinary stakeholders is expected. Project scope, research priorities, benchmark methodologies, and evaluation frameworks may evolve as AI capabilities and research requirements develop. Work must be completed without using confidential, proprietary, unpublished, embargoed, restricted-access, or otherwise protected information belonging to an employer, research institution, government organisation, client, data provider, collaborator, or other third party. This opportunity is available through 24-MAG LLC, which connects experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. Applicant information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with its Privacy Policy.
Requirements
- PhD in Economics or a closely related quantitative discipline.
- 3–5 years of post-PhD experience in applied economic research across industry, academia, public policy, or a comparable environment.
- Strong expertise in econometrics, applied microeconomics, causal inference, and empirical research.
- Strong quantitative and statistical-analysis skills.
- Experience working with large datasets.
- Proficiency with SQL and Python, R, or comparable statistical programming tools.
- Demonstrated ability to develop analytical methodologies.
- Strong critical-thinking and problem-solving skills.
- Excellent written and verbal communication.
- Experience producing research papers, technical reports, or policy briefs.
- Experience collaborating across research, engineering, product, or policy teams.
Nice To Haves
- Expertise in one or more areas such as labour economics, macroeconomics, industrial organisation, productivity, technological change, or AI economics.
- Experience developing AI evaluations, benchmarks, agentic economic workflows, or enterprise AI applications.
Responsibilities
- Conduct applied economic research and translate findings into measurable AI-evaluation criteria.
- Design benchmarks, scoring methodologies, and quality rubrics for economic reasoning and research tasks.
- Develop datasets and test cases involving empirical analysis, causal reasoning, policy questions, and real-world economic workflows.
- Evaluate model-generated economic analysis for methodological validity, robustness, and research quality.
- Refine evaluation frameworks as model capabilities evolve.
- Apply econometric and causal-inference methods to AI evaluation problems.
- Review assumptions, identification strategies, statistical validity, and robustness.
- Analyse model behaviour, recurring failure modes, and reasoning weaknesses.
- Evaluate applied microeconomic and quantitative reasoning.
- Translate observed model failures into new research questions or benchmark tasks.
- Evaluate AI systems performing multi-step economic research, analysis, and synthesis.
- Assess reliability across agentic workflows and complex reasoning chains.
- Work with large datasets using SQL and Python, R, or comparable statistical tools.
- Investigate enterprise and institutional use cases for AI-assisted economic research.
- Validate analytical outputs for methodological and computational accuracy.
- Produce technical reports, research findings, benchmark documentation, and policy-oriented materials.
- Communicate complex economic concepts clearly to interdisciplinary audiences.
- Collaborate with economists, researchers, engineers, product teams, and policy-oriented stakeholders.
- Translate economic research requirements into technical evaluation frameworks.
- Support cross-functional projects connecting economics, AI research, and product development.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Ph.D. or professional degree
