AI & Data Workforces
Human Workforces for AI. At Any Scale.
Gini builds and operates global AI data workforces for collection, annotation, evaluation, localization and AI operations, from a handful of domain experts to thousands of contributors working across multiple countries at once.
Sourcing is the easy part. We also verify, qualify, train, monitor and pay the people doing the work.
Not a recruiter pitch — built to operate large distributed workforces over time
Build an AI Workforce
Get a free quote — response within 1 business day.
Managed · EOR · RecruitmentNo spam. Your information stays private.
At a Glance
AI data programmes that stay operable at scale
Sourcing, QA and workforce operations — not just a pool of names.
What We Build
The human intelligence behind AI systems
Annotation, evaluation, collection, localization and specialist workforces — operated as programmes, not one-off tasks.
Label image, text, video and audio at quality
Image, text, video, audio and structured data labelling, with quality thresholds agreed before the first batch goes out.
Build an annotation workforce AI EvaluationHuman feedback for training and benchmarks
Response evaluation, ranking, relevance judgement and human feedback for model training and benchmarking.
Build an evaluation workforce Data CollectionCollect speech, image, field data to spec
Speech, image, video, geospatial and field data gathered to your specification in the markets you need it from.
Build a collection workforce LocalizationNative-speaker language and cultural validation
Language-specific evaluation, translation and cultural validation by native speakers rather than generic bilingual reviewers.
Build a localization workforce Specialist WorkforcesDomain experts when generalists are not enough
Domain experts, linguists, technical specialists and evaluators for tasks where general contributors are not enough.
Build a specialist workforceOperating Models
Choose your operating model
For AI data programmes, Managed Workforce is the model most clients use — Gini operates the workforce end to end.
Gini operates the workforce
The strongest model for large-scale AI operations, and the one most of our AI clients use.
Find specialised AI talent
For permanent specialists or expert contributors you will manage internally. Gini handles sourcing, qualification, assessment and placement — AI trainers, linguists, data specialists, domain experts, evaluators.
Explore Recruitment Employer of RecordEmploy dedicated AI teams globally
For long-term workers who need compliant employment where you have no entity. Gini handles employment, payroll, benefits and local compliance.
Explore Employer of RecordRecruiting workers is easy. Operating thousands of them reliably is the hard part.
Attrition, fraud, quality drift, verification, cross-border payments and language coverage are where large AI data programmes fail. That operational layer is what Gini is built to carry.
Case Study
14,000+ contributors. One global programme.
Platform
Technology built for workforce scale
Every contributor has a record: what they were verified for, what they qualified on, what they have delivered and what they have been paid. That record is what lets a programme scale from 200 people to several thousand without losing quality.
How Gini Works
One workforce. Three ways to build it.
Recruitment
We find and place the people. You employ and operate them.
Employer of Record
We recruit and employ locally. You manage the daily work.
Managed Workforce
We help source, employ and operate the workforce at scale.
First choose the workforce you need. Gini will determine the best way to build it.
FAQ
Common questions
How many contributors can Gini onboard for a single programme?
Programmes have run past 14,000 contributors across multiple countries, with sourcing, verification, onboarding and payments handled by Gini throughout.
Do you support low-resource and regional languages?
Yes. Language coverage is a sourcing question rather than a platform limit, and we recruit native speakers directly in the relevant markets for localization and language-specific evaluation.
How is annotation quality controlled?
Through qualification testing before contributors join a task, ongoing quality monitoring during delivery, and performance reporting that lets underperforming contributors be retrained or removed.
How are contributors paid across different countries?
Gini handles contributor payments as part of the managed workforce model, including local payment rails and the compliance requirements that come with each country.
Can you verify contributor identity and enforce NDAs?
Yes. ID verification, NDA and contracting sit inside the standard onboarding flow for managed AI workforces.
Get Started
Tell us what you are building
Share a few details and we will come back with a workforce and model recommendation.
No spam. Your information stays private.
