
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.
🕒 March 18
🇺🇸 United States – Remote
💵 $150k - $250k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
👷 Infrastructure Engineer
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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.
• Optimize and scale our PostgreSQL (Supabase) infrastructure • Design indexing, partitioning, and query strategies for large-scale media datasets • Improve performance across ingestion, enrichment, and retrieval pipelines • Build internal tools for querying and auditing large datasets • Create customer-ready dataset sample packs • Design and automate dataset exports and delivery pipelines (S3, secure transfers, custom formats) • Work across backend, ML, and product teams to support new features
• Strong PostgreSQL expertise (indexing, partitioning, performance tuning) • Experience working with large datasets (100M+ records preferred) • Deep understanding of storage systems (S3 or similar object storage) • Strong backend experience (TypeScript, Python, or similar) • Comfort building internal tooling and automation scripts • Ability to move between database, backend, and infrastructure work • Bonus: • Experience with data pipelines (ETL, transformation layers) • Experience with vector databases (pgvector, FAISS, Pinecone) • Experience delivering structured datasets to enterprise customers • DevOps experience (CI/CD, infra automation) • Experience working with media-heavy systems
• $150,000 – $350,000 equity • Relocation support
Apply Now🕒 March 4
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