Work at Sovrano AI in Barcelona
We're 15 people in Barcelona, and every role below runs a real part of the company. Open a role to see the detail. No cover letter needed: a CV and a few lines is enough, and we reply to everyone within five working days.
Research
Robotics Data Researcher
For PhD researchers in robot learning: find out what data makes robots better, and set Sovrano’s direction.
Barcelona, on-siteFull-time
Research
Robotics Data Researcher
For PhD researchers in robot learning: find out what data makes robots better, and set Sovrano’s direction.
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.
What you own
- Proving the data works. Train and fine-tune policies on Sovrano's datasets and measure the lift. When the data is not pulling its weight, find out why and say so plainly, because that call decides where the company puts its next bet.
- The benchmarks. Design the benchmarks that tell physical AI how good a policy really is on real work. Evaluation for physical tasks is still an open problem, and Sovrano intends to define it.
- Training the models. Pick the method each question needs, and run it end to end.
- The direction of the data layer. Your results decide which tasks, which embodiments and what quality bar the data layer is built around.
- The next dataset spec. You work with the data team so your feedback shapes how data gets made, and you verify the quality of what ships.
- Explaining the evidence. When a robotics company asks what data its policies need, your results are the answer, explained to a researcher, an operations lead and a client.
- Publishing. Papers at top venues, open releases, blog posts. Your name goes on the work, and the work goes out in public.
What we need
- Research depth in robot learning. A PhD, or a research record that does the same job, in robotics or machine learning. Close to finishing counts.
- You have trained and evaluated policies yourself, in simulation or on hardware. You know where robotics evaluations go wrong, and how to stop it.
- You move fast. You run the experiment early and write up what you found, including when it is the opposite of what you hoped.
- You can explain it. To a researcher, to an operations lead and to a client.
- AI native. You already work with AI tools and coding agents daily, and you build what you need without waiting for anyone to show you.
- Professional English, used daily with the team and with clients.
- Based in Barcelona, or moving here. The role is on-site with the team, and Sovrano helps with the move.
Research
LLM Data Researcher
For PhD researchers in LLMs: prove what expert data does to a model, and decide what Sovrano builds next.
Barcelona, on-siteFull-time
Research
LLM Data Researcher
For PhD researchers in LLMs: prove what expert data does to a model, and decide what Sovrano builds next.
The next generation of models will be shaped by knowledge that cannot be scraped: the judgment of the lawyers, doctors, engineers and tax advisors who do the work. Sovrano turns that judgment into post-training data, rubrics and benchmarks. This role answers, with evidence, whether that data makes models better, and then tells the team what to do about it. 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. The internet has been read. The gains now come from post-training and evaluation on expert work, and whoever defines what good work looks like is shaping the frontier. Europe has the experts, the universities and the research talent to build that layer, and too many of its best machine learning researchers leave to do frontier work elsewhere. This is a founding seat on the research team that intends to build it here. 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.
What you own
- Proving the data works. Post-train models on Sovrano's datasets and measure the lift. When the data is not pulling its weight, find out why and say so plainly, because that call decides what the experts work on next.
- The benchmarks. Design and run evaluations of frontier LLMs on expert domains. You decide what a fair test looks like, and you defend it.
- Training the models. Pick the method each question needs, and run it end to end.
- The next dataset spec. Your results become dataset specs. You work with the data team so your feedback shapes how data gets made, and you verify the quality of what ships.
- Sovrano's read on the field. Your view of where post-training and evaluation are going shapes what Sovrano takes to market and what it tells the labs.
- Explaining the evidence. When a lab asks what the data does, your results are the answer, explained to a researcher, an operations lead and a client.
- Publishing. Papers at top venues, public benchmarks, blog posts. Your name goes on the work, and the work goes out in public.
What we need
- Research depth in LLMs. A PhD, or a research record that does the same job, in machine learning or NLP. Close to finishing counts.
- You have post-trained and evaluated models yourself, beyond reading the papers. You know where evaluations go wrong, and you have built ones that hold up anyway.
- You move fast. You run the experiment early and write up what you found, including when it is the opposite of what you hoped.
- You can explain it. To a researcher, to an operations lead and to a client.
- AI native. You already work with AI tools and coding agents daily, and you build what you need without waiting for anyone to show you.
- Professional English, used daily with the team and with clients.
- Based in Barcelona, or moving here. The role is on-site with the team, and Sovrano helps with the move.
Marketing
Growth Marketer Associate
Find the experts who teach and test frontier AI and turn each new project into a campaign that brings them in.
Barcelona, on-siteFull-time
Marketing
Growth Marketer Associate
Find the experts who teach and test frontier AI and turn each new project into a campaign that brings them in.
The best AI models in the world are only as good as the experts who teach and test them. Somebody has to find those experts, and every new project starts with the same question: can we get the right ones in front of it, fast? This role is the marketer who answers yes. Sovrano supplies verified European expertise to frontier AI labs, robotics companies and enterprise AI teams. Doctors, lawyers, engineers, linguists and researchers put their judgement to work on the data that trains and evaluates frontier models. Sovrano draws on a network of 400,000+ professionals, 100+ partner universities across Europe with EFMD certification, 23 European languages, its own EuroExec benchmark, and a funding round led by b2venture. Two audiences decide whether that works: clients on one side, experts on the other. Marketing covers both, and this role owns the expert side. Think of it as a forward deployed marketer. You report to the Head of Marketing, who guides the work: which channels to use, how Sovrano is presented to experts, and where your time goes. Day to day you work closely with the lead of Talent Operations & Community to understand the staffing needs of each project, then turn them into campaigns. A new project is announced on Monday. By the end of the week you have worked out where its experts are, built the campaign, put it live and can tell us what is working. Strategy on Monday, Figma on Tuesday, a paid test on Wednesday, an event on Thursday. Every campaign maps to real people joining real projects, so you know within days whether an idea worked. That breadth is the point, and it is also the hard part. The supply side tells you what each project needs, Marketing sets the direction and the standard, and most weeks you will be the one weighing which piece of work moves the numbers first.
What you own
- Project campaigns. Every new project gets a plan to reach the experts it needs, live within days of being announced.
- Paid acquisition. Meta and LinkedIn campaigns aimed at the expert audience, with cost per qualified sign up as your number.
- Activation. The emails and sequences that turn a sign up into someone who completes an assessment and takes on a first project.
- Materials. The visuals, one pagers, decks and short videos the business needs, made by you, on brand, the same day.
- Expert social and channels. Social media for the expert audience, and campaigns run with partner universities and CareerOS.
- Expert events. Events that bring experts closer to Sovrano, from the plan to the follow up.
- The weekly read. What ran, what it cost, what it brought in, and what you would do next.
What we need
- One to three years in marketing, ideally at a startup, where you ran campaigns yourself.
- Design skills you use every week. Figma, InDesign, Illustrator or Photoshop, well enough to produce finished assets on your own.
- Social media and content you have created and grown, with results you can talk about.
- Paid ads on Meta and LinkedIn. Campaigns you set up, ran and optimised against a cost target.
- AI native. You already use AI tools every day and build what you need without waiting to be shown. It is how everyone at Sovrano works.
- Professional English, used daily. Spanish or another European language is a strong plus.
- Barcelona, on-site, or ready to move here, with regular time in the office.
Working here
What these jobs have in common.
You own the whole thing
Every role here is something a founder is doing right now and should not be. You get the decisions, the budget, and the first hire under you.
Provable, not plausible
We sell expert judgment people can trust, so we hold our own claims to the same bar. Numbers get checked against where they came from.
Fast, and written down
We move in days rather than quarters, and we write things down so somebody else can pick them up and run them.
European on purpose
Local law, local markets and the practitioners who know them are the product here.
Applying
How to apply
Open the role that fits you and apply from its page. We care more about the work than the cover letter, so a CV and a few lines is enough.
Sovrano AI is an equal opportunity employer. We assess every candidate against the same published criteria and we do not discriminate on the basis of age, gender, gender identity, sexual orientation, disability, ethnicity, nationality, religion or belief. We process your application to work out whether you are a fit for the job, on the basis of our legitimate interest in recruiting. It is stored inside the EU, it is not shared outside the hiring panel, and it is deleted after 12 months unless you ask us to keep it on file. To see, correct or delete your data, write to careers@sovrano.ai. See our Privacy Policy.