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Principal Researcher, AI Economic Preparedness

Job in Dallas, Dallas County, Texas, 75201, USA
Listing for: Windfall Trust
Full Time position
Listed on 2026-11-07
Job specializations:
  • Research/Development
    Economics, Research Analyst, Data Scientist
Salary/Wage Range or Industry Benchmark: 150000 - 190000 USD Yearly USD 150000.00 190000.00 YEAR
Job Description & How to Apply Below
Key Details

Compensation: $150,000–$190,000

Location: Remote, with regular overlap with European and US working hours

Start date: January 2027

Travel: ~10–20%, including international travel

About Windfall

Windfall Trust is a policy research organization preparing governments and institutions for AI-driven economic disruption. We bring together researchers, economists, and decision-makers to map out impacts and surface workable options.

Windfall's mission is to ensure that the economic benefits of advanced AI are broadly shared, rather than captured by a few. We advise countries on their economic preparedness for transformative AI (TAI), drawing on our wider research, scenario workshops with economists, policymakers and civil society leaders, and the Policy Atlas, an evolving repository of policy options available to governments. We also have an internal database of AI economic indicators called the Windfall Observatory.

About the role

Windfall is running AI economic preparedness programs with national governments across Africa, South and Southeast Asia, Central Asia, Eastern Europe, and Latin America and the Caribbean. Each program examines how advanced AI could affect a country’s development model (e.g., job automation exposure, labor-intensive manufacturing, traded services, remittances or commodity exports, fiscal situation), and helps its government decide what to monitor and how to respond.

Windfall is hiring a Principal Researcher to anchor the research behind these programs. You will own the analytical core of our country work: the methods we use to assess a country’s economic exposure to AI, the quality of the evidence that reaches governments, and the tools, such as the Observatory and the Policy Atlas, that our regional teams rely on. You will work directly with the Director of Research and the Regional Principals, and you will help shape how Windfall’s research agenda develops as the program grows to fifteen or more countries in 2027.

We are looking for an experienced researcher who wants to build something, not only contribute to it. We will also consider candidates with a shorter track record who can show the analytical depth and judgment the role demands.

What you'll do

Your work will span six areas:

  • Research direction and methods: Develop Windfall’s country assessment methodology. Decide how we measure AI exposure, fiscal and labor-market vulnerability and early-warning indicators, and keep those methods defensible to economists at finance ministries and multilateral institutions.

  • Quality and review: Review analysis before it reaches governments, partners and funders. Set standards for data sourcing, estimation and the treatment of uncertainty across country engagements.

  • Country analysis: Develop the starting hypothesis for each country: where advanced AI could affect its economy, labor market and public finances, and which early indicators could show it. Source and analyze the data behind the Observatory (e.g., World Bank, IMF, ILO, national statistical offices) and extend it where country work requires.

  • Writing and briefing: Produce country briefs, scenario designs, workshop reports and comparative findings, and turn them into short explainers for officials, partners and funders.

  • Policy tools: Drive the development of Windfall’s research tools, including AI exposure dashboards, public opinion surveys, scenario reports and maps of policy options, and ensure they are grounded in sound evidence.

  • Team and partners: Guide and mentor researchers and analysts working across country engagements. Represent Windfall’s research with academic economists, multilateral research departments and national statistical offices, and build the external relationships that strengthen our evidence base.

Wha…
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