Latin American researchers
training frontier AI.
Inside your lab.

We place vetted Latin American researchers with PhD or master's-level backgrounds inside AI labs and research teams. They work on RLHF, SFT, DPO, model evals, safety, alignment, coding agents, and annotation.

You tell us the work and field. Opus assesses candidates' degree, publication history, domain work, and standard vetting against your brief. You interview the shortlist and choose who joins your team.

Candidates are based across Latin America. Working-hour overlap with your team is confirmed for each candidate during the search.

Your researchers write and grade RLHF, SFT, and DPO data. They build RL environments and benchmarks, run model evals, write rubrics, test coding agents, red team failures, and support safety and alignment.

Opus sources candidates across Latin America and evaluates each person’s academic background and domain work against your specific brief, with working hours agreed individually. Request a quote scoped to your role.

One flat monthly rate covers salary, payroll, benefits, and compliance. See how Opus handles payroll and compliance, then request a quote scoped to your specific brief.

Opus's company-reported average across its service is 14 days from brief received to hired. That measures the hiring process; confirm your proposed start date during the search.

Every hire comes with a lifetime replacement. If it does not work out, we replace them at no cost.

Each candidate is assessed on their degree, publication history, and domain work relevant to your brief, alongside standard vetting steps covering skills, English, communication, references, role fit, culture fit, and drive. You interview the shortlist and make the hiring decision.