AI and blockchain are converging in ways nobody predicted. And it's creating a unique job market.

The intersection: decentralized AI training networks where anyone can contribute compute. On-chain AI agents that execute transactions autonomously. AI-verified digital identities. Tokenized AI models where creators earn royalties on usage.

Projects like Bittensor, Ritual, Gensyn, and Fetch.ai are building this infrastructure.

Whether you believe in crypto or not, the technical challenges are real and interesting: how do you verify that distributed training contributors actually computed what they claim? How do you build trustless AI inference? How do you create economic incentives for high-quality training data?

Roles: Decentralized ML Engineer. AI Protocol Developer. Smart Contract + ML Integration Engineer. Token Economics Analyst for AI networks.

Salaries: variable but often $150K-$350K+ with significant token compensation.

My honest take: this space is speculative. Some projects will fail. But the intersection of verifiable computation, decentralized incentives, and AI training is technically fascinating and could become very important.

If you have ML skills and crypto curiosity, it's a niche with very little competition and potentially outsized returns. High risk, high reward — which matches certain career appetites perfectly.