Jobless Developer
Kled Ai logo

Posted 7 months ago

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United StatesRemoteFull-time

AI Summary

Staff-level engineer who owns and designs core data infrastructure for a large, opt-in human data network, building systems that ingest, process, and license data to AI labs at scale.

About this role

ABOUT KLED

Kled is building the largest opt-in human data network in the world.

We are not a labeling firm. We are not a task marketplace.

We are a consumer application where people upload their real photos, videos, and documents and get paid continuously.

We then filter, standardize, and license that data to frontier AI labs and enterprises that need fresh, rights-aware training data.

Since launching our mobile app in 2026, we have:

• Reached #1 on the App Store (Finance) with 0 paid marketing
• Scaled to 200,000+ active data contributors
• Processed 1.5–3M uploads per day
• Raised $5M+ from investors behind SpaceX, Airbnb, Coinbase, xAI, OpenAI, Anthropic, Spotify, Lyft, Uber, and more

Our mission is to let anyone download the app and earn a real living wage from uploading their data.

ABOUT THE ROLE

We're looking to hire the best [you tell us] in the world to help us build the future of human data collection.

If you're interested in bringing the data side hustle to the masses, please apply.

REQUIREMENTS

Demonstrate what you do exceptionally and that you deserve a role at Kled

GROWTH OPPORTUNITY

You’ll join a team operating at the frontier of applied AI data infrastructure.

In this role, you’ll have the opportunity to:

• Own core systems that power one of the largest human data networks in the world
• Design infrastructure that directly influences what data trains next-generation AI models
• Build at real scale - millions of uploads per day, adversarial environments, global contributors
• Ship alongside a team that has built marketplaces, AI systems, and products used by millions

If you’re excited to move fast, build systems that matter, and help define how human data powers frontier AI, let’s talk.

Skills

Adversarial SystemsAI Training DataData PipelinesDistributed SystemsInfrastructureMobile Data CollectionScalabilitySystem Design

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