The AI Training Talent We Keep

weKnow places senior LATAM engineers into RLHF evaluation, prompt quality review, and AI annotation workflows — fully managed, U.S. hours, ready in under 2 weeks. We own payroll, quality, and retention so you don't have to.

15+ years placing engineers · 300+ engineers placed · 4+ year avg. tenure

The Platform Problem

Gig platforms optimize for churn. You need stability.

Outlier, DataAnnotation, Remotasks — they're built around rotating talent. Workers get banned without explanation, paid inconsistently, replaced the moment they get good. That's a feature for them. It's a bug for you.

Your RLHF pipeline depends on evaluators who understand your taxonomy, hold your quality bar, and show up tomorrow. That requires a different model entirely.

How We're Different

Managed AI training teams — not a talent marketplace.

Vetted before they touch your data

We screen every engineer for technical depth, English fluency, and annotation judgment — the same process we've used to place 300+ engineers with U.S. agencies since 2009. No blind applications, no algorithmic scoring.

U.S. hours. Real-time collaboration.

Your LATAM AI training team works your timezone — EST, CST, or PST. Slack, daily standups, shared tools. No async bottlenecks, no handoff delays at end of day.

We own quality and retention

weKnow manages payroll, compliance, performance reviews, and continuity. When a team member leaves — which is rare — we backfill without breaking your workflow. Average tenure across all our placements: 4+ years.

Roles & Profiles

From RLHF evaluators to domain experts — we place the full spectrum.

Whether you need coders reviewing LLM-generated code, domain specialists evaluating scientific or legal outputs, or experienced annotators for structured labeling at scale — we source and vet the right profile for your pipeline.

  • RLHF Evaluators
  • Prompt Quality Reviewers
  • Code Review Specialists
  • Math & Reasoning Auditors
  • NLP Annotators
  • Multilingual Evaluators
  • Red Team Testers
  • AI Safety Reviewers
  • Instruction-Following Raters
  • Domain Experts (Legal / Medical / Finance)

All profiles are English-fluent, LATAM-based, and available for full-time or part-time engagements. Minimum engagement: 20 hrs/week.

The Process

From brief to deployed team — in under 2 weeks.

  1. Tell us what you need
    One call. You walk us through your annotation task, quality bar, volume, and tools. We ask the questions that prevent bad hires.

  2. We source and screen
    Our technical team runs the vetting — task simulations, English evaluation, judgment calibration. You see a shortlist of 2–3 profiles, not 20.

  3. You meet the team
    A 30-minute intro call with each candidate. No pressure, no pitch. You decide who fits.

  4. We handle everything else
    Contracts, payroll, onboarding, tooling setup, ongoing performance management. Your team is live. You focus on the work.

Built For

AI labs, annotation platforms, and startups that need quality — not churn.

This service was built for teams that have outgrown gig platforms — or never wanted to depend on them in the first place.

You need evaluators who know your task, hold your standard, and are there next quarter. We built the infrastructure to make that reliable.

Common Questions

What you're probably wondering.

  • How is this different from just posting on Outlier or DataAnnotation?
  • Are these full-time or part-time placements?
  • What if we need a very specific domain — medical, legal, financial data?
  • How do you handle data security and NDAs?
  • What does this cost?

Ready to build an AI training team that actually sticks around?

One call is enough to know if we're the right fit. We'll tell you honestly if we're not.