About the job
The future of AI begins with high-quality data.
At HumanSignal, we are creating the platform that enables the creation, curation, and evaluation of that data. From fine-tuning foundational models to validating behaviors of agents in production, our tools play a crucial role for leading AI teams, ensuring that models reflect real-world signals, not noise.
Our open-source product, Label Studio, has risen to become the de facto standard for labeling and evaluating data across various modalities, ranging 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 focused on developing AI systems.
Label Studio Enterprise enhances this foundation by incorporating the security, collaboration, and scalability features essential for supporting mission-critical AI pipelines, fueling everything from model training datasets to evaluation test sets and continuous feedback loops. We started our journey before foundation models were mainstream, and we are committed to advancing now that AI is reshaping the world. If you are eager to assist leading AI teams in building smarter and more accurate systems, we would love to connect.
This is a product-engineering role: not merely “build what you’re told,” but rather shape what we build, own the problem, propose solutions, and deliver outcomes that are meaningful to users and the business.
