We're looking for people to build the next standard for learning

Praxis is an AI-native operating company that believes in every person’s capacity to grow and builds better systems for learning. We create and operate ELA, Epic Prep, the AI learning solution Rubric, and Playfit. We find problems closest to the field, combine AI, data, design, and domain expertise to solve them, then scale what works as products, curricula, automation, and SOPs.

Our standard process is application plus required degree and credential verification, review of role-specific experience or work, a role interview and practical evaluation, a values interview, reference checks, and compensation discussion. English instructors teach an English demo class; coaches complete a demo and safety scenario. Full-time English instructors and product, design, or growth engineering candidates also complete an AI-use review or real problem-solving session. We explain the purpose and expected time of every stage before it begins.

Yes. That said, telling us which role interests you most, and why, helps us start a conversation that fits both sides better.

We respond to every application within seven business days of receiving it. After each later stage, we get back to you as quickly as we can. If you have questions before applying, feel free to email us at careers@praxisheroes.com.

For every role, we examine required degrees and credentials, domain expertise, high standards, reliability, and growth through feedback. For part-time English instructors and part-time coaches, the focus is English or coaching expertise, reliable class delivery, child safety, and communication. For full-time English instructors and product, design, or growth engineering roles, we also examine end-to-end ownership of ambiguous problems, validation of AI outputs, and examples of turning individual solutions into documentation, automation, or training systems.

When a role requires an assignment, we explain its purpose and expected time and scope it to fit alongside your current job. Unless stated otherwise, AI use is allowed and encouraged; you must disclose the tools, core approach, validation method, and where human judgment was applied. Never enter employer, customer, or personal confidential data. We evaluate problem definition, reasoning, error control, and reproducibility alongside the deliverable.

All roles are based in Seoul. We do not offer a hybrid work arrangement. Hours are listed in each posting: ELA full-time is 12:30–22:00; ELA part-time is by agreement; Playfit morning part-time is 09:00–13:00; Playfit afternoon/evening is 16:00–23:00; and other roles are 10:00–19:00. We confirm the exact site, breaks, and detailed schedule during interviews.

Compensation is discussed using industry standards and market data for the role and level, together with the candidate’s demonstrated capabilities and expected scope of responsibility. After the final interview, we share expectations and rationale transparently and decide by mutual agreement.

In the first week, you learn the Praxis mission, all four brands, field operations, child safety, data and privacy, and our AI-use principles. We then agree on role-specific 30-60-90-day outcome metrics and decision rights. Within your first 30 days, you ship one real improvement, measure its effect, and document it. The team supplies context and fast feedback; you own the learning, execution, result, and systemization.

It means more than knowing how to use an AI tool. An AI-native Praxis teammate defines an important problem within a real domain, uses AI to learn whatever adjacent skill is needed, builds directly, validates the result with data, user feedback, or evals, and leaves behind a repeatable product, process, automation, or document. They do not use functional boundaries to hand off ownership, and they do not delegate professional judgment, quality, or safety to AI. High autonomy at Praxis comes with broad ownership, fast execution, high craft, and measurable outcomes.