RustLabs AI
Expert network connecting domain experts with AI labs to build training data. $20 to $100+/hr, 100% remote. 2,500+ experts on its rustBench platform across six fields.
What is RustLabs AI?
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.
Mission & values
Get paid to teach AI what you know: connect domain experts with the AI labs that need their knowledge to build better models.
Qualifications
RustLabs AI recruits verified domain experts, not general microtaskers. The qualification bar is proof of real expertise: "a GitHub, a paper, a portfolio, whatever proves you know your field," followed by a calibration or starter assessment task before you begin paid project work. Accepted fields are software engineering, finance and accounting, ML engineering, science and STEM (physics, chemistry, math), legal, and medical. The strongest fit is people with genuine professional or research depth in one of those areas who can articulate reasoning clearly in writing, since much of the work is producing high-quality reasoning traces, rubrics, and evaluations for model training. All work is 100% remote and flexible; you pick up projects on rustBench on your own time. Apply at experts.rustlabs.ai.
Hiring process
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1
Apply with proof of expertise
Submit an application at experts.rustlabs.ai showing you know your field: a GitHub, a published paper, a portfolio, or equivalent evidence of real professional or research depth.
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2
Calibration / starter assessment
Complete a starter calibration task that checks the quality and rigor of your work against the platform's standards for your domain.
About 5 days
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3
Get matched to a lab
Approved experts are matched to an AI lab and gain access to relevant projects and environments on the rustBench platform.
About 7 days
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4
Start projects and get paid
Pick up task-based projects on your own schedule and get paid hourly. Higher-quality work unlocks more and better-paid projects over time.
Funding
Awards & recognition
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2,500+ experts onboarded to the rustBench platform · 2026
RustLabs AI
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ViaTouch partnership to train retail AI and IoT self-checkout · 2026
RustLabs AI
Company information
- Industry: AI Training Data / Expert Network / RLHF
- Location: Remote-First (Global Expert Network)
- Website: experts.rustlabs.ai ↗
- LinkedIn: Company page ↗