LingoCore.
Onboarding annotators in 27 countries

The workforce layer for AI data annotation.

Upwork for data annotation. LingoCore matches AI teams with a vetted, global labeling workforce, then manages the work and pays it out, all in one platform.

Trusted by teams building the world's AI

SuperAnnotateOutlierMetaScale-readySurge-compatibleCVATSuperAnnotateOutlierMetaScale-readySurge-compatibleCVAT

how it works

From signup to payout, without the friction.

  • 01x:0

    Sign up & verify

    Global identity verification and a wallet, provisioned the moment you're approved. Onboard in minutes, from anywhere.

  • 02x:1

    Get matched

    Our matching layer ranks you against open projects by skill, language, and track record. An admin confirms every assignment.

  • 03x:2

    Do the work

    Complete tasks inside a client's own tooling or in LingoCore's workspace. Progress is tracked to the submission.

  • 04x:3

    Withdraw anytime

    Approved work lands in your wallet. Cash out to a local account the moment your balance clears $10 — anywhere in the world.

two ways to work with us

One platform. Built for two kinds of client.

TIER 01Enterprise AI teams

Workforce at scale

You already run your own annotation stack. We supply the vetted, distributed workforce that operates it — recruited, screened, and managed, with performance you can see.

  • Talent pool across 27+ countries
  • Ranked matching, human-approved
  • Invoiced or prepaid credit
  • SLA & performance reporting
TIER 02Growing AI startups

Full marketplace

No tooling of your own? Post a project, fund the escrow, and we run annotation end-to-end inside the platform — from task hosting to quality review.

  • Prepaid project escrow
  • In-platform task workspace
  • Built-in quality review
  • Fixed per-task pricing

the platform

Everything a marketplace needs, before you ask.

  • MATCHING

    Ranked matching, not guesswork

    At 10,000 applicants, no one scrolls a list. Our matching layer surfaces the right people by skill, language, and past accuracy — the final call stays human.

  • PAYOUTS

    Global payouts, low threshold

    One ledger, many countries. Annotators withdraw to local banks and mobile money the moment they clear a $10 minimum. Every cent reconciled daily.

  • TRUST

    Verified from day one

    Identity verification and one-wallet-per-person checks run at signup, so the pool you're matching against is real — even during a 10k-in-a-week surge.

  • ESCROW

    Money that can't disappear

    Clients fund before work begins. Annotators get paid on approved submissions. The platform sits in the middle so neither side has to trust the other blindly.

  • OPERATIONS

    One console for the whole pipeline

    Post projects, screen applicants, assign, track progress, approve work, release pay, and read platform analytics — from a single admin surface.

  • SCALE

    Built for the surge

    Stateless services, cached job feeds, async signup and verification. Designed to go from 2,000 to 10,000 annotators in a week without falling over.

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Vetted annotators onboarded

0

Countries served

0%

Match approval rate

$0

Minimum to withdraw

for annotators

Get paid for precision

Sign up, verify once, and start applying to real annotation work from AI teams worldwide. Withdraw the moment you clear $10.

for clients

Scale your labeling

Bring your own tooling or use ours. Post a project, get matched with vetted annotators, and pay only for approved work.

questions

The things people ask first.

Still unsure how a piece fits together? The model is simple: verified people, matched to real work, paid through one accountable ledger.

How do annotators get paid?+

Approved work credits an in-platform wallet. Once a balance clears the $10 minimum, annotators request a withdrawal to a local bank account or mobile money, and we disburse globally through our payout rails.

Do clients pay annotators directly?+

No. Clients pay LingoCore — by invoice or prepaid balance for enterprise, or prepaid escrow for smaller projects. The platform releases funds to annotators as work is approved, so neither side carries the counterparty risk.

Is the screening automated?+

Screening is human-led. A matching layer ranks and surfaces the strongest candidates so admins aren't reading thousands of profiles unaided — but a person makes every approval and assignment decision.

Where does the annotation actually happen?+

It depends on the client. Enterprise teams usually run their own tooling, and LingoCore supplies and manages the workforce. Smaller clients without tooling get an in-platform workspace to host and review tasks.

What about identity and fraud?+

Every annotator passes identity verification at signup, with one verified wallet per person. It keeps the pool genuine and protects payouts, even during rapid growth.

Build the workforce behind the next wave of AI.

Thousands of annotators are already earning. Bring your project, or join the pool — matched in days, paid on approval.