About the company
Our Mission: We’re bringing humanity to artificial intelligence. Born from AI veterans from Scale, Amazon, Meta, MIT, and beyond, Perle is passionate about empowering teams to bring human wisdom to the heart of their AI. Perle takes on the heavy lifting of training complex AI models. From expert-in-the-loop data labelling to adversarial attack protection, we offer modular solutions for building the most innovative AI platforms in the world. To learn more visit perle.ai
Job Summary
What you'll do
📍Set up, configure, and launch data annotation projects across text, audio, video, image, and specialized domains such as medical and legal. 📍From guidelines to task structures, you’ll be the one making them real. 📍Build prototypes of tools, workflows, and annotation systems, including UI/UX design and full-stack web applications that validate customer needs and internal hypotheses before they’re scaled by EPD. 📍Build scrappy web-based dashboards, internal tools, and annotation interfaces that are functional and usable on day one. 📍Work closely with Product Ops Managers to translate customer requirements into working prototypes. 📍Partner directly with the EPD team to transition prototypes into production-ready systems. 📍Write scripts, connect APIs, and automate pipelines to accelerate how we launch and scale projects. 📍Be the first line of defense when pipelines break or projects stall. Troubleshoot live, fix things fast, and keep projects moving under pressure. 📍Prototype, test, ship, and iterate constantly. Nothing will stay static; you’ll adapt workflows to evolving customer and team needs. 📍Ensure that every dataset we deliver is structured, clean, and QA’d to customer expectations, even if it means getting hands-on with annotation yourself. 📍Balance short-term hacks with long-term scalability, moving from “get it working today” to “make it run at 100x tomorrow.”
Who you are
📍A scrappy engineer who’s just as comfortable writing quick Python scripts as building functional web tools with clean UI/UX. 📍You thrive in ambiguity and fast-moving environments, figuring things out as you go without waiting for perfect processes. 📍You’ve worked with annotation projects, training data, or ML workflows before and know what good data looks like. 📍You understand the nuances of labeling across text, speech, and vision, and how to set projects up for success. 📍You can design and implement full-stack solutions, from database logic to user-facing dashboards and annotation interfaces. 📍You take personal responsibility for outcomes and feel proud of delivering results that move the company forward.
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