Robotics Data Researcher

Physical AI needs its own data layer: the data, the benchmarks and the evidence that connect real-world skill to the models that run robots. Sovrano is building it. This role leads the research that tells Sovrano, and the field, what actually makes robots better, and then makes sure it gets built. Sovrano AI is a data and research lab in Barcelona. Sovrano brings real experts into building AI: they do the work, Sovrano captures their judgment, and turns it into the data, benchmarks and evidence that frontier AI labs, robotics companies and enterprise AI teams use to train and evaluate their models. Behind it sit a network of 400,000 or more professionals, 100 or more partner universities across Europe, EFMD certification, 23 languages and EuroExec, Sovrano's own benchmark. Language models got good because the internet already existed. Physical AI has no internet: every robot that learns useful work will learn it from data someone deliberately built, tested and proved. What data a policy needs, how to judge its quality and how to test a policy against real work are still open across the field. Europe has the experts and the research talent to answer them, and this is a founding seat on the research team that intends to. The week is about 80 percent research: training, evaluating, publishing. The other 20 percent is communication and coordination, with clients, with marketing and with the data team. You report to Pau Arnal, Founding Researcher, who leads the research team and sets its agenda, and you work directly with him and with the CEO. Said plainly: scope moves as results and clients come in. Some weeks you train models all week, some weeks you are on a call explaining why a data spec should change. Much of the research infrastructure you need is yours to build. The trade is ownership most researchers wait a decade for: a research agenda that is genuinely yours to shape, and results that change what the company does the following week.