Kled AI
11 - 50 employees
Founded 2025
🤖 Artificial Intelligence
🏪 Marketplace
🤝 B2B
Artificial Intelligence • Marketplace • B2B
Kled AI is a research-backed data marketplace and mobile platform that sources, curates, and licenses opt-in human datasets to train and improve AI models. Through a contributor app that pays users for photos, videos, and other human-generated data, Kled aggregates high-utility, verifiable datasets for AI companies, governments, and research institutions, and publishes research demonstrating dataset improvements for model fidelity. The company focuses on solving AI data scarcity by combining marketplace services, contributor tools, automated quality checks, and enterprise-facing dataset products.
Fraud/ML Engineer
Job not on LinkedIn
🕒 March 18
🇺🇸 United States – Remote
💵 $150k - $250k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
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Kled AI
11 - 50 employees
Founded 2025
🤖 Artificial Intelligence
🏪 Marketplace
🤝 B2B
Artificial Intelligence • Marketplace • B2B
Kled AI is a research-backed data marketplace and mobile platform that sources, curates, and licenses opt-in human datasets to train and improve AI models. Through a contributor app that pays users for photos, videos, and other human-generated data, Kled aggregates high-utility, verifiable datasets for AI companies, governments, and research institutions, and publishes research demonstrating dataset improvements for model fidelity. The company focuses on solving AI data scarcity by combining marketplace services, contributor tools, automated quality checks, and enterprise-facing dataset products.
📋 Description
• Ensure only authentic, high-signal, human data gets through • Build AI-generated image & video detection • Implement reverse image search & internet plagiarism rejection • Develop duplicate fingerprinting systems • Detect copyright risk and metadata tampering • Create fraud network & device clustering systems • Establish human-in-the-loop verification pipelines
🎯 Requirements
• 3+ years in computer vision / ML (PyTorch or TensorFlow) • Production ML deployment experience • Strong SQL / PostgreSQL skills • Experience with vector search (FAISS, pgvector, Pinecone) • Image processing (OpenCV, PIL) • Comfort shipping backend systems (TypeScript/Deno or similar) • Bonus: Deepfake detection • Reverse image search systems • Copyright detection pipelines • Trust & Safety infrastructure
🏖️ Benefits
• Benefits • Relocation support • SF HQ (SOMA) or remote
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