[Hiring] Member of Technical Staff, Economics Research @24-MAG

Role Description

We are sharing a full-time research opportunity for an experienced economist with deep expertise in applied economic research, econometrics, causal inference, empirical analysis, benchmarking, and AI evaluation to help develop rigorous frameworks for measuring and advancing AI performance across complex economic reasoning and research workflows. This 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 benchmark environments, investigate model behaviour and failure modes, and collaborate across economics, research, engineering, product, and policy-oriented teams. The position requires a PhD-level research background and substantial postdoctoral or equivalent applied research experience.

Key Responsibilities

• Economic Research & Analysis
  • Conduct applied research across advanced economic topics
  • Investigate economic reasoning and empirical-analysis tasks relevant to AI systems
  • Translate research findings into measurable evaluation criteria
  • Identify methodological challenges in economics-focused AI workflows
  • Develop rigorous and defensible analytical conclusions
• AI Evaluation Framework Development
  • Design evaluation frameworks for AI systems operating in economic domains
  • Develop benchmarks, scoring methodologies, and quality rubrics
  • Define criteria for assessing economic reasoning and research quality
  • Improve evaluation methodologies as model capabilities evolve
  • Ensure benchmarks reflect meaningful real-world economic tasks
• Benchmark & Dataset Development
  • Create datasets and test cases for economics-focused AI evaluation
  • Develop benchmark environments reflecting real-world economic research challenges
  • Design tasks involving empirical analysis, causal reasoning, and policy questions
  • Establish representative evaluation scenarios
  • Maintain strong methodological standards across benchmark construction
• Econometrics & Causal Inference
  • Apply econometric techniques to AI evaluation problems
  • Use causal-inference methodologies to assess model reasoning
  • Review empirical assumptions and identification strategies
  • Evaluate statistical validity and robustness
  • Identify methodological errors or unsupported causal conclusions
• Applied Microeconomics & Economic Modelling
  • Apply principles of applied microeconomics to evaluation tasks
  • Analyse economic relationships using appropriate quantitative methods
  • Assess model-generated interpretations of economic evidence
  • Evaluate assumptions underlying economic models
  • Identify weaknesses in empirical or theoretical reasoning
• Model Behaviour & Failure Analysis
  • Analyse AI model behaviour across economics-related tasks
  • Identify recurring failure modes and reasoning weaknesses
  • Investigate sources of model error
  • Translate observed failures into new research questions or benchmark tasks
  • Recommend evaluation improvements based on empirical findings
• Agentic Economic Workflows
  • Evaluate AI systems performing multi-step economic research tasks
  • Analyse agentic workflows involving research, analysis, and synthesis
  • Assess reliability across complex economic reasoning chains
  • Identify coordination or methodological failures in agent-based systems
  • Help develop evaluation environments for advanced economic agents
• Enterprise AI & Applied Economics
  • Investigate economics-focused use cases within enterprise AI
  • Evaluate how AI systems perform on practical analytical workflows
  • Consider economic-research requirements across business and institutional contexts
  • Identify opportunities and limitations of AI-assisted economic research
  • Contribute domain expertise to enterprise-oriented AI evaluation
• Quantitative Data Analysis
  • Work with large and complex datasets
  • Use SQL for data extraction and manipulation
  • Apply Python, R, or comparable statistical programming tools
  • Perform empirical and statistical analyses
  • Validate analytical outputs for methodological and computational accuracy
• Research Communication
  • Produce technical reports, research findings, and methodological documentation
  • Communicate complex economic concepts clearly
  • Prepare research papers, analytical reports, or policy-oriented materials
  • Document benchmark methodologies and evaluation findings
  • Present conclusions effectively to interdisciplinary stakeholders
• Cross-Functional Research Collaboration
  • Collaborate with economists, researchers, engineers, and product teams
  • Translate economic research requirements into technical evaluation frameworks
  • Support interdisciplinary research initiatives
  • Coordinate methodological decisions across domain and technical teams
  • Contribute to projects connecting economics, AI research, engineering, and product development

Qualifications

• PhD in Economics or a closely related quantitative discipline
• 3–5 years of post-PhD experience in applied economic research
• Research experience may come from industry, academia, public policy, or comparable environments
• Strong expertise in econometrics
• Strong background in applied microeconomics
• Demonstrated expertise in causal inference
• Experience conducting rigorous empirical research
• Strong quantitative and statistical-analysis skills
• Experience working with large datasets
• Proficiency with SQL
• Proficiency with Python, R, or comparable statistical programming tools
• Expertise in one or more areas such as labour economics, macroeconomics, industrial organisation, productivity, technological change, or AI economics
• Demonstrated ability to develop analytical methodologies
• Strong critical-thinking and problem-solving skills
• Excellent written and verbal communication ability
• Experience producing research papers, technical reports, or policy briefs
• Experience collaborating across research, engineering, product, or policy teams
• Experience developing economics-focused AI evaluations or benchmarks is advantageous
• Familiarity with agentic economic workflows is valuable
• Familiarity with enterprise AI applications is beneficial
• Prior participation in cross-functional initiatives bridging economics, engineering, and product development is advantageous

Engagement Details

• Full-time engagement
• Fully remote
• Compensation: $400,000–$800,000/year
• Work will involve economic research, econometrics, causal inference, empirical analysis, benchmark development, dataset creation, model evaluation, and agentic economic workflows
• PhD-level economics expertise and substantial applied research experience are central to this role
• Responsibilities may span labour economics, macroeconomics, industrial organisation, productivity, technological change, AI economics, enterprise AI, and related research areas
• Regular collaboration with economists, researchers, engineers, product teams, and other 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 any employer, research institution, government organisation, client, data provider, collaborator, or other third party

About the Platform

This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.

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