At HumanSignal, we’re building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise.
Our open-source product, Label Studio , has become the de facto standard for labeling and evaluating data across 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’s the most widely adopted OSS solution for teams working on building AI systems. Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines — powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we’re doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems — we’d love to talk. STEM Expert - Scientific Content Review & Evaluation Specialist
HumanSignal is seeking highly qualified STEM (Science, Technology, Engineering, Mathematics) experts to contribute to cutting-edge AI development projects. This role involves evaluating, annotating, and validating scientific and technical content across multiple STEM disciplines to improve AI model performance in scientific reasoning, problem-solving, and explanation.
Environmental Science
Assess the appropriateness of scientific analogies and explanations