Women Building AI in Jordan: The Paradox Inside the Numbers

Jordan’s female youth unemployment rate stands at 66 percent — one of the highest in the world. Yet inside Jordan’s technology sector, the story looks different. Women make up over 30 percent of the ICT workforce, and they’re building some of the most consequential AI systems in the region. The stories of who’s doing the work — and how — are rarely told. Until now.

The numbers paint a paradox. Jordan’s female labor force participation rate sits at just 14 percent, with a government target of 28 percent by 2033. Structural barriers — childcare access, transportation infrastructure, cultural friction — keep millions of qualified women out of the formal workforce. Yet the tech sector is outperforming every other industry on female inclusion, driven by remote work flexibility, meritocratic hiring, and a pipeline of university graduates that is 40 to 50 percent women in ICT fields.

The women doing this work are machine learning engineers at companies like Mawdoo3 and Estarta, data scientists at Jordanian fintechs, researchers at the University of Jordan, and members of STEADYWRK’s own team. Their work spans Arabic NLP, computer vision, recommendation systems, and autonomous agents.

What they share in common is this: each navigated a system that wasn’t designed for them and built something remarkable anyway. Their insights on mentorship, salary negotiation, technical credibility, and career strategy offer a practical roadmap for the next generation of women entering Jordan’s AI workforce. If you’re a woman building AI in Jordan and want to be featured or connected with our network, apply at steadywrk.app.