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Job Description & How to Apply Below
Our mission is to help organizations and institutions better understand talent, skills, productivity, and the evolving future of work through data-driven systems and AI-powered infrastructure.
We are looking for a Research Economist to help us study how AI is transforming internships, labor markets, skills, productivity, and workforce development ecosystems.
About the Role
As a Research Economist at Internset, you will work on measuring and understanding the economic impact of AI across education, internships, hiring, workforce development, and skill verification ecosystems.
You will help design new methodologies, build analytical frameworks, and generate research insights around how AI is reshaping employability, digital work, productivity, and workforce readiness.
This role sits at the intersection of economics, AI, labor-market research, and large-scale data systems.
Responsibilities
Conduct empirical research on AI's impact on:
Labor markets and hiring trends
Skill demand and workforce transformation
Productivity and task automation
Internship and early-career ecosystems
Credentialing and digital trust systems
Design analytical frameworks and economic models using large-scale datasets
Build reports, indexes, and research publications around AI adoption and workforce intelligence
Work with product and engineering teams to improve measurement systems and research infrastructure
Translate research findings into actionable recommendations for organizations, educational institutions, and policymakers
Contribute to whitepapers, public reports, presentations, and industry insights
Collaborate with external researchers, economists, universities, and think tanks
You May Be a Good Fit If You Have
Strong academic or professional background in Economics, Econometrics, Public Policy, Data Science, or related fields
Experience with :
Labor market analysis
Econometric modeling
Causal inference methods
Policy or workforce research
Large-scale data analysis
AI or technology-impact research
Proficiency in Python, R, SQL, or similar analytical tools
Ability to work with structured and unstructured datasets
Strong writing and communication skills
Curiosity about AI, future of work, digital credentials, and economic transformation
Preferred Qualifications
Master's or PhD in Economics, Public Policy, Data Science, or related disciplines
Experience publishing research papers, policy reports, or analytical studies
Familiarity with AI systems, LLMs, and workforce intelligence platforms
Experience working with startups, research labs, or policy organizations
What You'll Work On
AI and workforce intelligence reports
Skill-demand and employability analytics
Economic impact studies related to AI adoption
Credential and verification ecosystem analysis
Future-of-work research initiatives
Research-backed policy and industry insights
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