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

Praxis is an education company that believes in every person’s capacity to grow and builds better systems for learning. We create and run ELA, the edtech brand Rubric, the kids’ sports program Playfit, and the upcoming Praxis42. We find problems up close in the field, solve them by combining data, design, and teaching expertise, and turn what works into curricula and systems the whole team can run.

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 or bilingual demo class; coaches complete a demo and safety scenario. 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 English instructors and coaches, the focus is English education or coaching expertise, reliable class delivery, child safety, and communication. For 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 English instructors work 12:30–22:00, Playfit coaches work 16:00–23:00, and other roles work 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.

Praxis teammates define important problems within their domain, learn the tools and adjacent skills they need, and build directly. They validate results with data, user feedback, or evals and leave behind a repeatable product, process, automation, or document. They do not use functional boundaries to hand off ownership, and they remain accountable for professional judgment, quality, and safety. High autonomy at Praxis comes with broad ownership, fast execution, high craft, and measurable outcomes.