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.
Love being active? Enjoy trying new things? Want to make some quick cash while helping build the future of AI?
We're looking for energetic people in Columbus, Ohio to participate in a super casual, fun data collection study. Think of it as getting paid to hang out, move around, and be yourself in front of a camera—no experience needed, no memorization, just you doing simple everyday actions!
Visit our Columbus location for a 90-minute session where you'll:
It's relaxed, straightforward, and way more fun than it sounds.
Friends and family are welcome! Even better—if you have siblings of the same gender with less than 5 years age difference, we'd especially love to have you both participate.
We also have opportunities for participants aged 12-17!
$100 per adult participant (18+) for just 90 minutes of your time!
BONUS: Earn $25 for every person you refer who completes the study! Know someone who'd be perfect for this? Send them our way and get paid when they participate.
You're perfect for this if you:
All backgrounds, body types, and experience levels welcome—we want real, diverse people!
Ready to make some easy money while contributing to cutting-edge AI development? Sign up today!
Important: This opportunity is a 1099 contractor assignment and does not constitute employment with HumanSignal.
Demographic Information Disclosure: This research study requires the collection of demographic information (including but not limited to age, gender, ethnicity, and physical characteristics) to ensure appropriate diversity and representation in AI training data. All demographic information collected will be used solely for research purposes and handled in accordance with applicable privacy laws. Participation in this study is completely voluntary, and you have the right to decline participation or withdraw at any time without penalty. By participating, you consent to the collection of this demographic information as part of the study requirements.
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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