The platform that makes AI data production teams better over time.

Welo Works is where AI training workers build skills, find work, and grow. And where clients get data production teams that arrive ready.

For AI trainers

Find work, build skills, and stay competitive on a platform built for AI training.

For clients and AI program teams

Source, screen, qualify, and develop the workers behind your AI training programs.


Built to develop the people doing the work, not just manage the tasks.

The gap between a data production team that ramps and one that’s already ready comes down to one thing: whether the platform they work on invests in them between projects. Welo Works does.

Purpose-built for AI data production

Not a repurposed crowdsourcing platform. Welo Works is designed specifically for AI training, RLHF, model evaluation, and human feedback workflows — from first application through program completion.

Learning infrastructure that compounds

Courses, assessments, and XP progression are tied to real task types and project history. The workforce available for your next program is more prepared than the one you onboarded last time.

Screening and verification built in

Workers are not self-assigned from an open marketplace. Identity verification, gated qualification screening, and skills assessment happen before any client work is accessed.

Owned end-to-end, not stitched together

Sourcing, learning, qualification, assignment, and analytics all run inside one system. No third-party LMS. No generic crowdsourcing routing. One platform, full oversight.



One platform. Everything you need to work well in AI training.

Welo Works connects annotators, linguists, domain experts, and human evaluators to AI training, RLHF, model evaluation, and human feedback projects.

Browse and apply without leaving the page

See available projects, review full details and time estimates, and submit your application in a single unified screen. The complete flow from first look to submitted application, in one place.

See everything at a glance

Your dashboard shows active jobs, open applications, and in-progress learnings in a single view. An XP bar tracks skill progression across assignments so you always know where you stand and what to do next.

Training tied to the work, not generic courses

Assigned courses and assessments sit inside the same platform you use every day, tied to your project history and XP. You can also self-enroll proactively — no active project required.




A managed workforce platform built for the quality demands of frontier AI.

Workforce quality starts before your project does. Every element of how workers enter, progress, and perform is managed inside a single owned system.

How workers enter the platform

Workers are not self-assigned from an open marketplace. They are screened and verified before accessing client work: identity verification and fraud prevention at sign-up, comprehensive profiling across languages and domain expertise, gated qualification screening, secure document management for CVs, NDAs, and consent forms, and financial onboarding for both employee and freelancer classifications.

How workers are qualified for your work

Skills verification is integrated into the platform. Workers complete assessments with automatic pass/fail tracking, e-learning with completion monitoring, and certification recording before being cleared for project assignment. Client-specific exam registration and batch results processing are supported for programs with external qualification requirements.

How workers develop over time

The learning infrastructure is built in-house for AI data production workflows. A worker qualified for semantic classification requires different preparation for preference ranking, red-teaming, or domain-specific evaluation. Workers self-enroll in training proactively between projects, which means the workforce available for your next program is more prepared than the one you onboarded last time.

How active programs are managed and monitored

Application tracking by name, status, and stage. Current action and sub-status for each worker. Full application history and progression records. Direct communication through platform-integrated messaging. Analytics across all stages: in progress, complete, cancelled, abandoned.

What this means for your program

Worker quality is downstream of worker experience. A platform that keeps workers engaged between projects, rewards skill development, and surfaces the right people for the right tasks produces data production teams that improve across programs, not just within them.

Clients get teams who showed up to learn before the project started, not just because it started. That’s the difference between a ramp period and a running start.




Frequently asked questions

What kind of work is available on Welo Works?

Projects span AI data production, preference ranking, human evaluation, red-teaming, adversarial testing, and multilingual assessment, across a wide range of AI training and model development programs for Welo Data clients.

Do I need prior experience to join?

Not necessarily. Specific projects have their own qualification requirements, and the platform’s learning and assessment infrastructure is designed to help you build toward them. Completing training proactively puts you in a stronger position for higher-value work.

What is XP and why does it matter?

XP tracks your skill progression on the platform, earned through task completion and assessment outcomes — not login time. Workers who build XP become more competitive for specialised, higher-paying opportunities over time.

How do I get access?

Sign up directly via the Welo Works sign-up flow at app.welodata.ai. Existing users log in through the standard authentication flow.

Is Welo Works available in my country?

Welo Works supports a global workforce. Availability for specific projects depends on project requirements and regional eligibility. The platform operates in English.

How does the learning platform work?

Access assigned courses and assessments directly from your Learnings tab. You can also self-enroll in additional training through the Explore area — no active project required. All content is tied to your XP and project history.

How are workers screened before they access my project?

Workers go through identity verification, profile qualification, gated screening questions, and document management before platform access. Skills verification — including assessments, e-learning completion, and certifications — is completed before workers are cleared for project assignment.

What task types does Welo Works support?

Semantic annotation, preference ranking, red-teaming and adversarial testing, multilingual evaluation, domain-specific human feedback, and model output assessment. Client-specific qualification and certification processes can be integrated into the onboarding flow for specialised programs.

How do I monitor my workforce during an active program?

Program managers have real-time visibility into application status, worker progression, current task and sub-status, and full history. Bulk action capabilities, direct messaging, and automated communication are available through the platform’s administration tools.

How does the learning system connect to delivery quality?

Workers complete task-specific training and assessments tied to their XP and project history — not generic courses. A worker cleared for a preference ranking program has been assessed on that task type specifically. This is the operational difference between credential-matching and actual qualification.

Can Welo Works support client-specific qualification requirements?

Yes. Client exam registration and batch results processing are supported for programs with external or proprietary qualification requirements. Speak to your account lead about integrating client-specific certification into the worker onboarding flow.

What does financial onboarding look like for workers?

Welo Works handles complete financial onboarding for both employee and freelancer worker classifications. SLA signing and confirmation processes are managed within the platform.