About the job
The future of artificial intelligence, whether in training or evaluation, classical machine learning, or agentic workflows, hinges on the availability of high-quality data.
At HumanSignal, we are developing a groundbreaking platform that facilitates the creation, curation, and evaluation of this crucial data. Our tools are utilized by top AI teams for tasks ranging from fine-tuning foundational models to validating agent behaviors in production, ensuring that models are grounded in genuine signals rather than noise.
Our open-source product, Label Studio, has emerged as the de facto standard for data labeling and evaluation across diverse modalities—from text and images to time series and agents in environments. With over 250,000 users and hundreds of millions of labeled samples, it stands as the most widely adopted open-source solution for teams dedicated to building AI systems.
Label Studio Enterprise enhances this foundation with security, collaboration, and scalability features essential for mission-critical AI pipelines—supporting everything from model training datasets to evaluation test sets and continuous feedback loops. We began our journey before foundation models became mainstream, and we are now intensifying our efforts as AI transforms the world. If you're enthusiastic about assisting leading AI teams in building smarter, more precise systems, we would be thrilled to connect.
HumanSignal is at the forefront of revolutionizing how the most advanced AI systems are constructed. As the creators of Label Studio, the world's most adaptable data labeling platform, and through our newly established HumanSignal Services division (following our recent acquisition of Erud AI), we are pioneering the production of purpose-built datasets that drive breakthrough AI applications.
Our mission is straightforward: leverage human intelligence to fuel the future of AI. We collaborate with cutting-edge labs and the world’s largest enterprises to eliminate data bottlenecks and foster innovation at speed. Through our Data Creation Laboratories, we don’t merely label data—we manufacture it from the ground up in controlled environments, creating the innovative datasets that novel AI applications require.

