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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The base salary range for this full-time position is $60,000–$80,000 USD, plus benefits. This role is open to candidates internationally. Final compensation will be determined by experience, skills, location, and interview performance.
About HumanSignal:
HumanSignal is on a mission to make AI work for everyone. We build open-source tools and enterprise solutions that help teams create, manage, and improve the training data that powers AI. Our products—including Label Studio—are used by thousands of companies worldwide, from startups to Fortune 500 enterprises.
We're a remote-first company that values impact, ownership, and creativity. We believe the best work happens when people bring their full selves to the table, and we're committed to building an inclusive team that reflects the diversity of the world we're building for.
HumanSignal is an equal opportunity employer. We're committed to building a diverse and inclusive workplace, and we don't discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. If you need accommodations during the hiring process, please let us know.
We build software that helps people do what only they can do – give meaning. Data fills our modern world. It flows prolifically inside organizations, customer interactions, product usage, environmental research, healthcare imaging, and beyond. What if we could use any of this historical data to predict the future? In most cases, we can now make predictions through Machine Learning & AI, but to do so in a meaningful and impactful way, historical data needs to be accurate, comprehensive, and without bias. To make the best predictions, we believe teams with domain expertise should be responsible for annotating and curating data. It's called data labeling, and it’s a process of real people giving meaning to the information they see on the screen. HumanSignal was founded to take data labeling operations to the next level and help data scientists make better predictions.
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