Vetted experts on your platform, on your tasks

Vetted experts from our network of 400,000+ work inside your platform, from post-training data to evals. You choose who manages the work and QA.

Ten years of sourcing and vetting elite engineers

The same network and vetting that companies use to hire senior engineers, now working on AI training data and evals.

400K+Vetted engineers in our network
Top 2%Of applicants make it into the network
72 hoursTo a shortlist of matched experts
2,500+Companies have hired through Revelo

We take on the hiring overhead. You keep control

One engagement, set up your way. You decide who manages the work and who runs QA. We can handle the rest, even when the work happens on your platform.

Vetting and onboarding

We vet every expert and onboard them to your platform.

Background checks

We run background checks when the work needs them.

Data-integrity checks

We check the work for data integrity, even on your platform.

Day-to-day management

Your team, or our project and tech leads.

QA

Your team, or our reviewers.

Progress reports

When our leads run the work, they report on progress.

The experts you need, up and running in no time

  1. 1

    Tell us the work

    The tasks, the skills, the platform and the hours.

  2. 2

    Get a shortlist

    Matched, vetted experts within 72 hours: identity confirmed, skills tested, screened by a person.

  3. 3

    Choose your team

    Interview the experts you want, or let our leads pick.

  4. 4

    Start in your tools

    We handle onboarding, payroll and compliance. Your team or our leads run the work.

How we vet every expert

The vetting we’ve run for more than ten years of hiring. Only the top 2% of applicants make the cut.

Skills tested

Technical assessments matched to the work each expert will do.

Screened by a person

Manual reviews by our recruiters, including English and remote-work readiness.

Identity checks

Identity confirmed and fraud detection on every applicant, before anyone joins a project.

Senior engineers across domains

Our network is weighted toward senior engineers. In key roles, more than half have over three years of experience, and many have six to ten.

Software engineering

Backend, frontend and full-stack engineers who work in real codebases.

AI and machine learning

ML engineers, including LLM post-training experience.

Data and analytics

Data engineers and analysts for pipelines, SQL and dashboards.

Cloud and DevOps

Infrastructure, CI/CD and platform engineers.

Mobile and QA

iOS and Android engineers, and test automation specialists.

Other specialties

Over 100 technologies in the network, scoped with you.

Flexible teams, with the operations handled

The operations behind our hiring business, applied to expert teams for AI labs.

Flexible terms

Month-to-month. Scale up for a push and pull back after it, with no locked-in headcount.

Dedicated team

Recruiters and account managers who stay with you from shortlist to day-to-day work.

Payroll

Payroll, benefits, taxes and compliance handled across 18 countries.

Your hours

Experts work within 2 hours of US Eastern time, in real time with your team.

Results delivered for AI labs

94%

approval rate, up from 54%

Interface generation

A design-first workflow for a lab evaluating front-end generation. Designs were approved before any code was written.

Read the story
8days

to 1,000+ expert-evaluated tasks, across 25 parallel queues

Code evals across models

Task-specific rubrics that turned clarity, scalability, and design into criteria a reviewer can verify, for benchmarking across models.

Read the story

Just need data?

Expert-authored datasets and RL environments, off the shelf or built to your spec, in formats you already run.

Learn more

FAQ

Who are your experts?
Senior engineers from the network we have built over ten years.
How do you vet them?
Technical assessments, manual reviews by our recruiters, identity confirmation and fraud detection. Background checks are available when the work needs them.
How do we work with you?
You choose. Your team can direct the work and QA, or our project and tech leads can run them.
How fast can experts start?
You get a shortlist of matched, vetted experts within 72 hours. Once you choose, we handle onboarding, payroll and compliance.
Can they work inside our tools and QA process?
Yes. They can work in your tools and follow your QA steps, or deliver finished data from our platform with our own review.
How do you keep quality high?
We check the work for data integrity, even on your platform, and our reviewers can run QA.
Can we scale up or down?
Yes. Terms are month-to-month, so you can add experts for a push and release them after it.
How do we get started?
Tell us the tasks, the skills, the platform and the hours. We send a shortlist.

Put our experts to work on your platform

Tell us the work and the skills. A researcher will scope the team with you.