Day 3 of launch and HumanLayer has already grown to 220 contributors.
Today, we are activating the next core layer of the platform by assigning our first 10 reviewers, who will serve as the primary quality control layer across HumanLayer.
These reviewers are not just contributors with a different title. They are a critical part of the platform’s operating system. Their role is to review output quality, validate completed tasks, help detect weak or inaccurate submissions, and ensure that the overall standard of work across HumanLayer remains high as the network scales.
Because reviewer performance has a direct impact on platform quality, trust, and payout integrity, they will be our highest-paid contributors. This is by design. HumanLayer is being built with clear incentive alignment, where greater responsibility, stronger judgment, and higher-value platform functions are rewarded accordingly.
This is a major milestone because it pushes HumanLayer beyond simple contributor onboarding and into a more mature workflow structure with real quality assurance, reviewer economics, and operational layering. Step by step, we are building the core infrastructure for a crypto-native AI training platform that can scale with both quality and speed.