Hire AI Researchers for advanced model development

Some AI problems need more than implementation. They need original thinking, rigorous testing, and a deeper understanding of how models can be improved.

Prometeo Talent helps companies hire AI Researchers in LATAM for applied and advanced AI work. These are the professionals who can push model quality forward, explore new approaches, and bring structure to experimentation.

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When you need an AI Researcher

You may need this role when your team is working on hard prediction problems, model optimization, domain-specific AI, evaluation design, or new approaches that go beyond standard implementation.

This role is especially important when performance gains matter, when off-the-shelf solutions fall short, or when your company is investing in differentiated AI capability.

What AI Researchers do

AI Researchers design experiments, test hypotheses, compare approaches,and help teams understand what is actually improving performance. They often work across data, modeling, evaluation, and collaboration with engineering teams that later productionize the work.

The strongest candidates can move between theory and application. They know how to think deeply without losing sight of business relevance.

What we screen for

We assess research depth, experimentation quality, problem framing, communication, and the ability to work with product and engineering teams. Not every brilliant researcher is a fit for an applied company environment. We focus on people who can contribute in a business setting, not only in isolation.

Why hire through Prometeo Talent

AI research hiring is specialized. The role is easy to describe badly and hard to fill well. Prometeo Talent helps clarify the brief, narrow the market,and identify candidates with the right level of research maturity and practical fit.

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FAQ

What is the difference between an AI Researcher and an ML Engineer?

AI Researchers focus more on experimentation, model improvement, and new approaches. ML Engineers usually focus more on implementation and production systems.