Member of Technical Staff, Economics Research

As artificial intelligence shifts rapidly from general-purpose generative text generation to specialized, agentic problem-solving, the frontier of machine learning requires profound domain-specific rigor. While foundational models excel at language syntax, they frequently struggle with deep economic reasoning, causal inference, and real-world market dynamics. Bridging this gap demands the intellectual architecture of trained economists and econometricians who can design robust evaluation frameworks for advanced AI systems.

micro1—the leading AI data lab powering frontier model training and agent evaluation—is offering a premier full-time core team opportunity: the Member of Technical Staff, Economics Research position. Featuring an exceptional total compensation package ranging from $400,000 to $800,000 per year (with a base salary of $200,000 to $250,000, equity compensation, performance bonuses, and up to 100% health-insurance premium reimbursement), this fully remote role places quantitative economists at the absolute vanguard of AI-powered economic reasoning.

Whether you hold a PhD in Economics and are looking to transition your academic or public policy research into cutting-edge artificial intelligence, or you are an industry researcher seeking unprecedented scale and compensation, this comprehensive guide covers the role specifics, core responsibilities, required technical skills, and a structured roadmap to successfully navigate the application process.

Why Economic Reasoning is the Next Great Frontier for Artificial Intelligence

For years, natural language processing models were evaluated primarily on conversational fluency and general knowledge trivia. However, enterprise adoption requires AI agents capable of autonomous economic decision-making, policy impact simulation, forecasting, and complex resource allocation. When an AI model is deployed to analyze market trends, evaluate monetary policy, or optimize supply chain pricing, superficial patterns are insufficient; it requires genuine economic reasoning grounded in empirical methodology.

micro1 is building the human intelligence layer for frontier AI by engaging world-class quantitative researchers. As a Member of Technical Staff specializing in Economics Research, your work will directly shape how large language models and multi-agent systems understand market mechanics, consumer behavior, and macroeconomic shifts. You will transition economic theory into computable benchmarks that determine whether next-generation AI agents are ready for enterprise deployment.

Core Responsibilities and Scope of Work:

• Evaluation Framework Architecture: Design, build, and evolve advanced evaluation frameworks for AI systems operating in economic domains, establishing rigorous benchmarks, scoring methodologies, and quality rubrics.
• Applied Economic Research: Conduct high-level research on economic reasoning and empirical analysis, translating complex findings into measurable, actionable improvements in AI model performance.
• Dataset & Benchmark Development: Develop specialized datasets, test cases, and simulation environments that reflect real-world economic research, industrial organization, and public policy challenges.
• Cross-Functional Collaboration: Partner closely with researchers, software engineers, data scientists, and product teams to evaluate and refine economics-focused AI models and agentic workflows.
• Model Behavior & Failure Mode Analysis: Analyze complex model outputs and failure modes to pinpoint research opportunities, eliminate hallucinations, and enhance system reliability.
• Econometric Methodology Application: Apply advanced econometric methods, causal inference, and statistical analysis to rigorously evaluate AI capabilities on multifaceted economic tasks.
• Technical Thought Leadership: Produce comprehensive research papers, technical reports, and industry best practices that advance the standard of AI evaluation in economics.

Qualifications and Professional Background

Given the highly specialized nature of this core team research position, micro1 maintains rigorous candidate criteria to ensure intellectual leadership in AI econometrics:

• Advanced Academic Credentials: A PhD in Economics or a closely related quantitative academic discipline.
• Post-PhD Experience: 3 to 5 years of post-PhD experience conducting applied economic research across industry, academic institutions, or public policy think tanks.
• Domain Specialization: Proven expertise in one or more core economic areas, including labor economics, macroeconomics, industrial organization, productivity analysis, technological change, or AI economics.
• Econometric Rigor: A robust foundation in econometrics, applied microeconomics, and causal inference methodologies.
• Technical & Statistical Fluency: Demonstrated experience handling large datasets utilizing SQL and statistical programming languages such as Python or R.
• Communication & Publishing Acumen: Excellent written and verbal communication skills, backed by a portfolio of research papers, technical reports, or policy briefs.

Preferred Qualifications:

• Prior hands-on experience developing or evaluating economics-focused artificial intelligence, agentic workflows, or specialized benchmarking environments.
• Familiarity with enterprise AI deployment challenges and commercial opportunities for economic research.
• Demonstrated history of participating in cross-functional research initiatives that bridge economic theory, software engineering, and product development.

Comprehensive Benefits and Total Compensation Package

micro1’s core team compensation structure is engineered to attract and retain elite global scientific talent:

• Exceptional Earning Potential: Total annual compensation ranges from $400,000 to $800,000, combining a competitive base salary ($200K–$250K), equity participation, and performance incentives.
• Comprehensive Healthcare Support: Up to 100% employer reimbursement for health insurance premiums, ensuring robust coverage for you and your family.
• Long-Term Wealth Building: Generous equity compensation grants and a 401(k) retirement plan with corporate matching.
• Flexibility & Time Off: Generous paid time off (PTO) policies designed to support deep work, research focus, and sustainable work-life integration.

Step-by-Step Guide to Completing Your Application Successfully

Core team research positions at micro1 are exceptionally competitive. To ensure your application successfully clears the AI-assisted screening and human review process, follow these structured steps:

1. Tailor Your CV for AI & Econometrics: Ensure your resume or curriculum vitae clearly highlights your PhD credentials, post-PhD research tenure, and specific expertise in causal inference, Python/R programming, and econometric modeling.
2. Showcase Research Output: Provide links to published research papers, technical reports, or public policy briefs that demonstrate your writing and analytical depth.
3. Complete the Full Application Thoroughly: Engage fully with every prompt in micro1’s recruitment portal. Avoid leaving optional sections blank to give the AI recruiter and hiring committee a complete picture of your capabilities.

Step into the future of artificial intelligence research and apply your quantitative expertise to shape global economic reasoning.