AI Training Teams

The AI training talent
gig platforms burn through.
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 EvaluatorsPrompt Quality ReviewersCode Review SpecialistsMath & Reasoning AuditorsNLP AnnotatorsMultilingual EvaluatorsRed Team TestersAI Safety ReviewersInstruction-Following RatersDomain 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.

01

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.

02

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.

03

You meet the team

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

04

We handle everything else

Contracts, payroll, onboarding, tooling setup, ongoing performance management. Your team is live. You focus on the work.

0+
years placing engineers
0+
engineers placed
0+
year avg. tenure
2 wks
to deploy your team

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.

Is this you?

You run RLHF, fine-tuning, or alignment workflows
You need contractors who work U.S. business hours
You've had quality issues with gig-platform annotators
You want managed payroll and compliance — not 1099 chaos
You need specialists: coders, domain experts, or multilingual evaluators
You're scaling and can't afford 30% monthly annotator turnover

Common Questions

What you're probably wondering.

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.

No commitment required  ·  Response within 1 business day  ·  yes@weknowinc.com