RustLabs AI is an expert network that pays verified domain experts to build training and reinforcement-learning data for AI labs. The pitch is straightforward: "Small AI labs are building their own models, and they need data from people who know a subject cold." Experts apply, prove their expertise, get matched to a lab, and pick up task-based projects on the company's experts platform, called rustBench, which advertises 2,500+ experts already onboarded. Work spans six domains: software engineering (coding tasks and debugging), finance and accounting (modeling and analysis), ML engineering (building evals, writing rubrics, reviewing training data and model pipelines), science and STEM (physics, chemistry, and math reasoning), legal (contracts, case law, and policy), and medical (clinical reasoning, diagnosis, and medical literature). Pay is 20 to 100+ USD per hour, the work is 100% remote and done on the expert's own schedule, and projects are task-based rather than a fixed weekly commitment. The company has publicized at least one named partnership, a collaboration with ViaTouch to train retail AI and IoT self-checkout systems. RustLabs AI does not publicly list its founders, headquarters, headcount, or funding, so treat it as an early-stage operator in the fast-growing expert-data-labeling space alongside peers like Mercor, Pareto, and AfterQuery. Note this is unrelated to rustlabs.com, the Rust video-game item wiki.