Content Operations QA Analyst

cargo.one is the AI-native operating system for air and ocean freight. Logistics still runs on manual work, disconnected tools and messy data. Since 2018 we've been building the data foundation, and the AI agents on top of it, that let freight teams quote, book and manage rates in a fraction of the time. Today more than 30,000 users across 172 countries run on us. Ocean is our newest frontier. We've just brought ocean freight onto the platform alongside air, in one workspace powered by the same AI, and we need people who can make that ocean data rock solid from day one. As our Content Operations QA Analyst (Ocean), you're the sharp eye that keeps our ocean pricing data trustworthy. Carriers and partners send us their rates, and increasingly our AI helps process them. Your job is to make sure every figure is right before it reaches a customer. You don't need a background in shipping or logistics; we'll teach you how ocean pricing works. You'll build the expertise to spot instantly when something's been entered wrong, fix it, and close the loop with the source so it doesn't happen again. It's a hands-on, detail-driven role for someone who takes real pride in getting things exactly right. We're backed by leading investors, including Index, Bessemer, Point Nine, Creandum and Lufthansa, and we work remote-first in a positive, feedback-driven and genuinely fun team. 🌍 Where you can work We're remote-first. You can work from (almost) anywhere cargo.one is able to employ through our partner Remote. We're a remote company, but we regularly meet in person, too. 🎬 A snapshot of what you'll be doing here - Quality-check the ocean freight contracts, rates and surcharges that our partners and AI populate, cross-checking every entry against the source rate sheets and tariffs. - Build deep knowledge of ocean rates and surcharges, so you can immediately spot when something looks wrong. - Catch and correct errors before they reach our customers, keeping our data accurate and trustworthy. - Communicate clearly with our vendor partners when something needs fixing, and close the loop so the same mistake doesn't recur. - Spot recurring error patterns and help improve our QA checks, guides and documentation. - Use AI tools to make the QA process faster and sharper, and ideally help build them. - Maintain structured, high-quality master data across the ocean content set.

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