A new type of AI gig economy is forming.

Not freelancing in the traditional sense — micro-specialized AI work that can be done in hours.

Emerging AI gig categories:

Model Evaluation: companies pay $50-$200/hr for domain experts to evaluate AI outputs. Medical professionals evaluating healthcare AI. Lawyers evaluating legal AI. Teachers evaluating educational AI.

Red Teaming: $100-$400/hr for security experts to break AI systems. Bounty-style programs where you get paid per vulnerability found.

Data Curation: $30-$100/hr for creating high-quality training data in specialized domains. Especially in demand for non-English languages.

Fine-tuning Services: $500-$5000 per project for quick fine-tuning jobs that don't justify a full hire.

AI Integration Consulting: $150-$500/hr for helping companies connect AI tools to their existing systems.

Platforms enabling this: Invisible AI, Appen, Surge AI, Scale AI for data work. Toptal and Expert360 for consulting. And emerging AI-specific marketplaces.

The career implication: you don't need a full-time job to earn well in AI. A portfolio of gig work — evaluating models for one company, fine-tuning for another, consulting for a third — can exceed full-time salary while giving you variety and flexibility.

This is especially powerful for engineers in India and other regions where international gig rates create significant purchasing power.

The AI gig economy is early. Getting established now means being a trusted provider when the market matures.