Member of Technical Staff, Economics Research
Job Description
Job Title: Member of Technical Staff, Economics Research
Job Type: Full-time
Location: Remote
The Role
Join our research team as a Member of Technical Staff (MTS), Economics Research, where you'll help define the frontier of AI-powered economic reasoning. This role sits at the intersection of large language models, agentic systems, and economics, with a focus on building rigorous evaluation frameworks that measure and advance AI performance across complex economic reasoning and research workflows.
You will conduct applied research, develop methodologies for assessing AI systems on economic tasks, and partner closely with researchers, economists, engineers, and product teams to shape the next generation of AI.
What You'll Be Doing
Design and evolve evaluation frameworks for AI systems in economic domains, including benchmarks, scoring methodologies, and quality rubrics.
Conduct research on economic reasoning and empirical analysis, translating findings into measurable improvements in AI performance.
Develop datasets, test cases, and benchmark environments reflecting real-world economic research and policy challenges.
Collaborate with researchers, economists, engineers, and product teams to evaluate and improve economics-focused AI models and agentic systems.
Analyze model behavior and failure modes to identify research opportunities and improve model performance.
Apply econometric methods, causal inference, and statistical analysis to evaluate AI capabilities on economic tasks.
Produce technical reports, research findings, and best practices that advance AI evaluation in economics.
Stay current with advances in AI, econometrics, and economic research, incorporating new techniques into evaluation methodologies.
What We're Looking For
PhD in Economics or a closely related quantitative field.
3–5 years of post-PhD experience in applied economic research (industry, academia, or public policy).
Expertise in one or more areas such as labor economics, macroeconomics, industrial organization, productivity, technological change, or AI economics.
Strong background in econometrics, applied microeconomics, and causal inference.
Experience working with large datasets using SQL and statistical programming languages such as Python or R.
Demonstrated experience conducting empirical research or developing analytical methodologies.
Strong analytical, critical-thinking, and problem-solving skills.
Excellent written and verbal communication skills, with experience producing research papers, technical reports, or policy briefs.
Experience collaborating across research, engineering, product, or policy teams.
Preferred
Experience developing or evaluating economics-focused AI, agentic workflows, or benchmarking environments.
Familiarity with enterprise AI challenges and opportunities for economic research.
Prior participation in cross-functional research initiatives bridging economics, engineering, and product development.
Compensation & Benefits Notice
The national pay range for this full-time position is base salary of $200,000 –$250,000. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.
micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to support@micro1.ai.
Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.
Disclaimer
The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.
About Micro1
Micro1 is building the essential infrastructure for the next generation of artificial intelligence, moving beyond the limitations of static datasets to create a dynamic ecosystem where models truly learn to think and act. At its core, the company understands that the path to frontier intelligence isn't paved with synthetic data alone; it requires the nuance, judgment, and contextual awareness that only expert human guidance can provide. By positioning itself at the intersection of human expertise and advanced reinforcement learning, Micro1 is tackling the hardest problem in AI today: teaching models not just to answer questions, but to reason through complexity and take meaningful actions in unpredictable, real-world environments.
This mission comes to life through Realm, Micro1's flagship training environment. Realm functions as a high-fidelity simulation ground where AI agents are immersed in scenarios that closely mirror the messiness of actual human workflows. Rather than relying on abstract benchmarks, Realm forces models to engage in agentic actions, multi-step decisions, digital navigation, coding, and problem-solving that require genuine comprehension. It is within these realistic sandboxes that world-class human data is generated, creating a continuous feedback loop where expert annotators observe, correct, and guide model behavior. This process does more than just fine-tune outputs; it fundamentally elevates a model's underlying reasoning architecture, ensuring that the intelligence developed in training holds up when deployed into the wild.
But training is only half the equation. Micro1 recognizes that the true test of an AI system lies in its production performance, which is where Cortex enters the picture. Cortex is a contextual evaluation platform designed to move beyond superficial accuracy metrics and provide a granular, real-time view of how agents behave in live settings. It doesn't just flag errors; it surfaces the underlying context behind failures, revealing why an agent struggled with a particular user intent or environmental variable. This insight is invaluable for engineering teams, as it transforms evaluation from a passive checkpoint into an active improvement tool. With Cortex, companies can catch degradation early, understand the nuances of edge cases, and feed those learnings directly back into Realm for retraining, creating a virtuous cycle of continuous advancement.
Ultimately, Micro1 is not merely a data lab or an evaluation tool it is a comprehensive intelligence engine that connects the entire lifecycle of model development. From the expert human feedback that sharpens raw capability, to the realistic RL environments that forge robust agentic behavior, to the contextual oversight that ensures reliability in production, Micro1 provides the integrated foundation that AI labs and enterprises desperately need. As the industry races toward truly autonomous systems, Micro1 stands as the critical bridge between laboratory breakthroughs and dependable, real-world impact, ensuring that frontier models do not just perform well on paper, but deliver genuine value in the complex, dynamic world they are meant to serve.