// HIRED · THE SHORTEST DISTANCE BETWEEN OPEN AND FILLED

The roles AI labs can't wait to fill — filled.

Hired places vetted remote contractors into AI data, RLHF and model-training work — and gives labs a shortlist in days, not quarters. No agency theatre. Just the people who do the work.

Browse open jobs Hiring? Start here

// TRUSTED BY TEAMS AT

FRONTIER LAB QUANT FUND LEGAL-TECH AI HEALTH MODEL CO ROBOTICS STARTUP

Client names anonymized — swap with real logos/names before launch.

// BY THE NUMBERS

Avg. open → shortlist

$95/hr

Typical specialist rate

3,400+

Contractors in network

92%

Placements still active at 90d

Rate reflects market data for vetted RLHF/specialist work; dashed figures are illustrative placeholders.

// TWO SIDES, ONE PIPELINE

// FOR HIRING TEAMS

Talent that ships, not résumés that sit.

Tell us the rubric. We return a shortlist of contractors who've already done the exact task — annotation, RLHF preference data, eval design, domain expertise — pre-screened against your bar.

For hiring teams

// FOR CONTRACTORS

Real AI work, real rates, no microtask grind.

Get matched to contract roles that pay for your expertise — not race-to-the-bottom piecework. Coding, language, science, evals. Remote, async, paid on time.

For contractors

// HOW IT WORKS

Three steps from open to filled.

Scope

You hand us the rubric, the rate band, and the timeline. We translate it into a screen most agencies skip.

Shortlist

We pull from a pre-vetted network and test against your task. You get 3–5 contractors who fit, with evidence.

Place

Contracts, onboarding and payments handled. You're reviewing work inside the week.

// WHY HIRED

Decisive beats drawn-out.

The strongest hiring brands move with momentum. Indecision is what loses you the best contractors — so we built the whole process around speed without skipping the screen.

Vetted, not aggregated

Every contractor is screened against real tasks before they reach your inbox.

Priced on expertise

Specialist work pays specialist rates. We publish bands so nobody guesses.

Built for remote-first

Async by default, global by design, paid on a schedule people can trust.

// FEATURED OUTCOME

FRONTIER LAB · RLHF

From a stalled eval backlog to a calibrated 40-person preference-data team in under three weeks.

A frontier lab needed coding-RLHF specialists who could rank model outputs against a strict rubric. We scoped, shortlisted and placed — and quality held as the team scaled. (Illustrative case — replace with real client outcome.)

// WORK WE STAFF