About the job
ABOUT KLED AI
Kled AI is pioneering the world's largest opt-in human data network, transforming the way data is utilized for artificial intelligence. Unlike traditional labeling firms, we empower users to upload their authentic photos, videos, and documents, providing them with continuous monetary rewards for their contributions.
Our innovative platform filters, standardizes, and licenses this high-quality data to AI labs and enterprises in need of fresh, rights-aware training material. Since our mobile app launch in 2026, we have achieved remarkable milestones:
- Ranked #1 in the Finance category on the App Store without any paid advertising
- Grown our community to over 200,000 active data contributors
- Processed between 1.5 to 3 million uploads daily
- Secured over $5 million in funding from top-tier investors associated with SpaceX, Airbnb, Coinbase, and more.
Our mission is to enable anyone to download our app and earn a sustainable living by sharing their data.
ABOUT THE POSITION
As a Machine Learning Engineer specializing in Fraud Detection and Data Quality, you will play a crucial role in ensuring that only genuine, high-quality human data enters our system. Your responsibilities will include developing:
- AI-driven image and video detection systems
- Reverse image search and internet plagiarism detection mechanisms
- Duplicate fingerprinting using vector and perceptual hashing techniques
- Copyright risk assessment tools
- EXIF and metadata tampering detection
- Fraud network and device clustering systems
- Human-in-the-loop verification pipelines
This role offers the opportunity to work with adversarial machine learning at a large scale, far beyond academic benchmarks. For instance, when a user is required to upload a video of themselves taking out the trash, our system must seamlessly reject any irrelevant submissions, like a video of a pet.
