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27 days ago
Requirements and responsibilities
About KledKled is building the largest opt-in human data network in the world. We are not a labeling firm and 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 roleML Engineer - Fraud Detection & Data QualityEvery day, millions of files hit our system. Your job is to make sure only authentic, high-signal, human data gets through.You’ll build: AI-generated image & video detection; Reverse image search & internet plagiarism rejection; Duplicate fingerprinting (vector + perceptual hashing); Copyright risk detection; EXIF / metadata tampering detection; Fraud network & device clustering systems; Human-in-the-loop verification pipelines.This is adversarial ML at scale, not academic benchmarks.ExampleA user is tasked with uploading a video of themselves taking out the trash. The user uploads a video of their dog. The upload is rejected automatically. But more complex. More requirements. At scale.WE’RE LOOKING FOR3+ years in computer vision / ML (PyTorch or TensorFlow)Production ML deployment experienceStrong SQL / PostgreSQL skillsExperience with vector search (FAISS, pgvector, Pinecone)Image processing (OpenCV, PIL)Comfort shipping backend systems (TypeScript/Deno or similar)BonusDeepfake detectionReverse image search systemsCopyright detection pipelinesTrust & Safety infrastructureCurrent stackBackendPostgreSQL (Supabase) – 100’s of millions of media filesS3 storageDeno / TypeScript edge functionsPython detection pipelinesFrontendSwiftUI (migrating to Flutter)Internal verification toolingCompensationBase salary: $150,000 – $250,000$150,000 – $350,000 equityBenefitsRelocation supportSF HQ (SOMA) or remoteWe move fast and work hard (9-9 culture).If you're excited to build large-scale adversarial ML systems that sit at the core of next-gen AI data infrastructure, let’s talk.Growth opportunityYou’ll join a team operating at the frontier of applied AI data infrastructure. We move fast and work 7 days a week.In this role, you’ll have the opportunity to:Own core systems that power one of the largest human data networks in the worldDesign infrastructure that directly influences what data trains next-generation AI modelsBuild at real scale - millions of uploads per day, adversarial environments, global contributorsShip alongside a team that has built marketplaces, AI systems, and products used by millionsIf you’re excited to move fast, build systems that matter, and help define how human data powers frontier AI, let’s talk.
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