Assist Kusama Network in annotating datasets for machine learning models focused on network security. Perform hourly tasks labeling data to improve AI detection algorithms remotely.

Kusama Network is building the next generation of decentralized systems, and we need dedicated individuals for AI Data Annotation tasks. This hourly-weekly opportunity lets you contribute to enhancing our AI models that safeguard blockchain networks from threats.

In this role, you'll review and label various data points, such as transaction logs and anomaly patterns, using our intuitive annotation tools. Each task is designed to be asynchronous, allowing you to work at your own pace—perfect for supplementing income while gaining exposure to AI in blockchain.

Typical Workflow:

• Log in to our platform and select available batches.
• Annotate images, text, or logs with predefined categories (e.g., 'suspicious activity' or 'normal').
• Submit for quality review and receive feedback.

Over 4 months, you'll handle diverse datasets, from simulated attacks to real-world network data. No prior AI experience needed, but a keen eye for detail is essential. This is ideal for CS students or recent grads looking to build a portfolio in ML data prep.

We ensure fair compensation per hour, with bonuses for high accuracy. Join a community of annotators who collaborate on forums to share tips. Your efforts directly train models that protect decentralized ecosystems, making a real difference in Web3 security.

Kusama values open-source contributions, so you'll learn about cutting-edge tech. Work flexibly around your schedule, with tasks available 24/7. This isn't just a gig—it's a stepping stone to AI careers in blockchain.

Expect variety: one week you might label fraud patterns, the next curate training sets for predictive analytics. We provide guidelines and examples to get you started quickly. Help us fortify the future of decentralized networks—one annotation at a time.

• Basic computer skills and attention to detail
• Reliability in meeting weekly quotas
• Interest in technology and AI
• Ability to follow detailed instructions

• Flexible task selection
• Performance-based bonuses
• Access to AI training webinars
• Community recognition for top contributors