The future of AI — whether in training or evaluation, classical ML or agentic workflows — starts with high-quality data. 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. HumanSignal is building the world's first dedicated data creation labs—facilities where expert annotators, domain specialists, and AI trainers create the highest-quality training data in the industry. We're hiring an AI Trainer Onboarding and Support Specialist to be the first point of contact for our growing community of AI trainers. You'll help new trainers get started, answer their questions, resolve issues quickly, and make sure everyone has what they need to do their best work. This role is all about people. You'll be the friendly voice (or message) that helps someone navigate their first annotation task, troubleshoot a technical issue, or understand their payment. You'll work across time zones to support a global workforce, and you'll play a key role in making HumanSignal a place where talented people want to contribute. If you're someone who genuinely enjoys helping people, thrives on solving problems, and wants to be part of building something new, we'd love to hear from you.
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Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
Number of Employees
51-100 employees