Real-world data is the competitive edge in AI.
HumanSignal is a human data partner for companies building AI models and products. Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery.
We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the open-source standard for data labeling and evaluation, used by over 1 million practitioners worldwide.
We specialize in the operationally complex: real-world data collection, multimodal pipelines, and multi-step workflows. Advanced ML and AI teams use our enterprise platform to run their own data factories, and our services team to extend their reach where in-house capacity runs out.
If you want to do work that materially shapes how the next generation of AI products gets built, we'd love to talk.
You'll join a small marketing team at a fast-moving AI startup where you'll be exposed to a broad range of marketing disciplines and have autonomy to get things done. One day you're editing a launch video, the next you're staging an email campaign or planning a happy hour at a conference. You'll get real ownership, direct mentorship, and room to explore which part of marketing fits you: content, events, demand generation, community, or something you discover along the way.
We expect you to work with AI at every step. You'll use tools like Claude to draft, research, edit, and automate, and you'll help us create and hone new AI workflows the rest of the team adopts.
Send us your resume plus one thing you've made that you're proud of: a video, a post, a campaign, a meme that went further than you expected.
HumanSignal builds a platform that powers the creation, curation, and evaluation of high-quality data for AI systems. Their flagship open-source product, Label Studio, is the de facto standard for data labeling and evaluation across multiple modalities including text, images, time series, and agent environments, with over 250,000 users and hundreds of millions of labeled samples. Label Studio Enterprise extends this capability with security, collaboration, and scalability features for mission-critical AI pipelines, supporting use cases from model fine-tuning to production agent validation. The company is focused on ensuring that AI systems are grounded in real-world signal rather than noise, serving leading AI teams building smarter and more accurate systems.
