Builders & engineers
You understand the tools and want to ship agents, automations, products, infrastructure, or something the starter tutorials never covered.
A working community for builders, engineers, business operators, data-capture people, and physical-AI practitioners ready to turn AI knowledge into systems, stronger operations, valuable data, and real opportunity.
“You learned about the tools. Here, you build with them—and find the people who push the work further.”
The Lab is not organized around a job title. It is organized around people who are ready to apply AI to something real.
You understand the tools and want to ship agents, automations, products, infrastructure, or something the starter tutorials never covered.
You are working toward real-world AI: demonstrations, teleoperation, embodied systems, evaluation, or the data those systems require.
You know how to film, document, annotate, or run repeatable capture—and want to turn those skills into useful, responsible data.
You want AI inside the operation: better systems, a working second brain, smarter workflows, and a clearer view of what your business data is worth.
Members can enter through one path and grow into another. The connective tissue is the community: peers, projects, practical knowledge, and opportunities to do more ambitious work.
Move from knowing what AI can do to shipping tools, agents, automations, and products that survive contact with real work.
Apply AI to the systems you already own: knowledge, delivery, decisions, customer work, and the workflows holding the business together.
Learn responsible capture, documentation, consent, and production practices—and hear about paid projects when your skills and location match.
Build toward robotics, teleoperation, evaluation, and embodied-data work with people who care about the bridge between models and the physical world.
AI and robotics systems need clear examples of people doing physical tasks. When a matching project opens, Lab operators may be trained and paid to capture those demonstrations responsibly.
Apply to the Operators Lab and we'll keep you close to what opens next — membership, working rooms, events, and project tracks. Applying does not guarantee membership or paid work.
People who already understand AI and want to apply it — builders, operators, and capture and physical-AI people. It's not a beginner course; it's where you put what you know to work.
Acceptance is free. Tell us which archetype fits, what you're building right now, and the raw material or expertise you bring. We read every application and reach out as the Lab opens.
Opens the application in a new tab. No spam and no selling your information. Applying does not guarantee membership, projects, or paid work.
No. The Operators Lab is for applying what you know. There may be workshops, guides, and shared learning, but the point is to build, operate, capture, and create alongside people doing real work—not to collect another set of beginner lessons.
People who already have a working understanding of AI and want the next level: builders, engineers, robotics and physical-AI practitioners, data-capture and production people, second-brain implementers, and business owners ready to put AI inside their operation.
No. Technical builders belong here, but so do operators, producers, implementers, and business owners. What matters is that you want to apply AI to something real and contribute what you know.
No. Membership or interest does not guarantee employment, projects, or a set number of hours. Paid capture and other opportunities depend on customer demand, location, skills, and project requirements; the terms are shown before you decide.
Some physical-AI systems learn from video of people performing real tasks. When a project matches, operators may be trained and paid to capture those demonstrations. Required equipment, usage terms, acceptance criteria, expected time, and pay are explained before participation.
The Lab is being designed as an online working community with projects, rooms, events, and opportunities organized around applied tracks. Early members will receive platform and access details as the community opens.
Bring the skills you already have. Build the ones you need next. Find the people who make the work more ambitious, more useful, and more real.