Job Opportunities API

About Inspira Education Inspira Education Group is one of the fastest-growing edtech startups in the US. We started with a simple mission to democratize access to high-quality coaching so that every student in the world has an equal opportunity to access the best opportunities.  As the world’s leading network of top admissions coaches in medical, legal, business, and college studies, we’re building software and services in one place—disrupting long-entrenched application processes with products and experiences that strive to provide an equal platform for candidates from diverse backgrounds worldwide.  As one of the fastest-growing edtech firms in the world, we are backed by some of the leading venture capital firms and investors in the world, including Zeev Ventures, Quiet Capital, Craft Ventures and Jeff Fluhr (Founder of Stubhub). The Role Inspira is looking for an Editor, Digital Content to establish the quality bar for everything we publish. This is a senior individual contributor role for someone who can catch a misplaced modifier and a misleading heading structure in the same read-through, who edits with the authority to push back on subject-matter experts, and who understands how content actually gets found, read, and cited — by people and by AI systems alike. You'll work directly with coaches, subject-matter experts, and the content team to take drafts from rough to publish-ready across our blog, guides, and marketing content spanning medical, legal, business, and college admissions. You'll be equally comfortable tightening a sentence and explaining why it needed tightening, so the writers you work with get better every time you touch their work. This role also sits at the center of how Inspira thinks about content quality as a discipline - from house style to editorial workflow to how we prepare content for an AI-driven search landscape. This is an in-person role that requires 5 days a week attendance in our NYC office (Gramercy)   What You'll Do Edit for quality, at the sentence and structure level Catch spelling, grammar, factual, and formatting errors before anything ships Rewrite passive constructions into active voice; push plain language over jargon Cut words that don't add meaning; tighten bloated sentences Verify heading hierarchy (H1 → H2 → H3) is logical and accurate Trace claims, stats, and quotes back to primary sources; flag anything unverified Define proper nouns and terms on first mention within each section, not just once at the top Own and apply the style guide Apply Inspira's house style consistently - punctuation, capitalization, formatting, tone Flag deviations rather than silently fixing them, so writers internalize the rules Evolve the guide as our content and audience grow, building buy-in rather than dictating Edit for how content is found and used — by readers and by AI Match content format to search intent (listicle for transactional, guide for informational) Ensure sections lead with the point in the first sentence or two, rather than burying it Break content into self-contained chunks that each answer one question clearly, so they can be cited in isolation by a skimming reader or a summarizing LLM Structure key claims as clear subject–predicate–object statements, easy for readers and retrieval systems alike Spot phrasing that reads like it was written for a crawler instead of a person, and fix it Check that link text is specific and descriptive, never generic filler like "click here" Raise the bar on originality and expertise Evaluate whether a piece adds real value - original data, an expert quote, first-hand experience - versus restating what's already out there Assess whether content demonstrates real expertise through sourcing, credentials, and depth, not just polish Know the difference between what AI can generate on its own and what requires a human's lived e