Great AI doesn’t ship without great human judgment behind it. We place bilingual AI evaluators across Latin America, people who rate, rank and red-team model output with the rigor a research team needs.
You can’t fine-tune, RLHF, or ship safely without calibrated humans rating output against a clear rubric.
Stop burning expensive ML engineer hours on labeling and grading. Put dedicated evaluators on it.
We can staff one calibrated evaluator or a whole pod, inter-rater reliability held throughout.
AI Evaluators
LatAm gives you something most eval pools can’t: genuinely bilingual and trilingual evaluators who can grade Spanish and Portuguese output as fluently as English, in your timezone, so calibration sessions happen live, not overnight.
3-5 people who fit the exact role, not a résumé dump.
Every evaluator passes a calibration test against a gold-standard rubric.
Not a fit? We replace at no cost.
Operators who’ve made this hire, not account managers.
We start with a 30-minute call. You tell me the role, the stack, and what “great” looks like. No charge, no obligation.
We screen against the role-specific bar and send 3-5 people in days, not a résumé dump.
Meet your favorites. We coordinate everything. Most clients hire within ~3 weeks of the first call.
We handle contracts and payroll via Talent Management (COR). Not a fit in 90 days? We replace at no cost.
They rate, rank and red-team model output against rubrics, the human judgment behind RLHF, eval sets and safety review. It’s the work that turns a capable model into a reliable product.
An evaluator judges model output; an engineer builds the product around the model. They’re complementary roles. If you need someone to ship AI features, see hire AI engineers in Latin America.
Yes. We build calibrated eval pods and can run payroll and compliance through Talent Management (COR) as you scale.
Yes, adversarial testing, jailbreak discovery and safety classification are core parts of what we screen for.
Primarily English, Spanish and Portuguese, often more. Multilingual eval coverage is one of the biggest reasons teams hire evaluators from LatAm.
We calibration-test against a gold rubric up front and can monitor agreement metrics across the pod so your labels stay consistent.
First candidates in days, most pods staffed within ~3 weeks. We move fast because eval is usually the thing blocking your next model release.
Far less than US rates for equivalent rigor. See our LatAm Compensation Report for benchmarks, or book a call for a role-specific quote.
“Tell me what your models need, whether RLHF, evals or red-teaming, and I’ll send you 3-5 calibrated evaluators this week.” Calvin, CEO of Awana