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App Engineer

Posted 43m ago

About the role

iOS Engineer - Consumer App Our entire network starts on the phone. You’ll help build the mobile experience that powers one of the largest human data collection efforts ever created.

What you'll do

  • Design and ship core upload flows (photo, video, document ingestion)
  • Build high-performance media handling systems
  • Optimize upload speed, compression, and background processing
  • Implement fraud detection hooks and verification UX
  • Build incentive systems, payout visibility, and contributor dashboards
  • Improve retention, engagement, and contributor lifetime value
  • Work directly with backend + ML teams to ship full-stack features

Requirements

  • 3+ years iOS development experience
  • Strong Swift / SwiftUI experience
  • Experience shipping consumer apps at scale
  • Deep understanding of performance optimization (media-heavy apps preferred)
  • Experience with background tasks, file handling, and networking
  • Strong product intuition
  • Bonus:
  • Experience with growth loops or marketplace products
  • Experience building creator tools
  • Experience with Flutter (we are migrating parts of the stack)
  • Experience working closely with ML or backend teams

About https://www.kled.ai/

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.

Visit https://www.kled.ai/

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