
HumanSignal enables data science teams to build AI models with their company DNA. With the emergence of generative AI, it’s more important than ever to build highly differentiated models by guiding foundation models with proprietary data and human feedback. Creators of Label Studio, the most popular open source data labeling platform, HumanSignal enables data scientists to develop high quality datasets and workflows for model training, fine tuning and continuous validation. Today, the Label Studio open source community has more than 250,000 users who have collectively annotated more than 100 million pieces of data. Label Studio Enterprise is available as a cloud service with enhanced security, automation, quality review workflows, and performance reporting, used by leading data science teams including Bombora, Geberit, Outreach, Wyze, and Zendesk.

HumanSignal enables data science teams to build AI models with their company DNA. With the emergence of generative AI, it’s more important than ever to build highly differentiated models by guiding foundation models with proprietary data and human feedback. Creators of Label Studio, the most popular open source data labeling platform, HumanSignal enables data scientists to develop high quality datasets and workflows for model training, fine tuning and continuous validation. Today, the Label Studio open source community has more than 250,000 users who have collectively annotated more than 100 million pieces of data. Label Studio Enterprise is available as a cloud service with enhanced security, automation, quality review workflows, and performance reporting, used by leading data science teams including Bombora, Geberit, Outreach, Wyze, and Zendesk.
Product: Label Studio — open-source and enterprise data labeling/annotation platform
Founded: 2019
Rebrand: Rebranded from Heartex to HumanSignal in June 2023
Users / community: Label Studio community: over 100,000–250,000 users (reported figures vary)
Latest known funding: Series A led by Redpoint (May 18, 2022)
| Company |
|---|
Data labeling, dataset creation, model training/validation, human-in-the-loop AI
2019
Software Development
Seed round reported in early January 2021
25,000,000
Series A led by Redpoint with participation from Unusual Ventures, Bow Capital, Swift Ventures and angels
“Redpoint led Series A; other investors include Unusual Ventures, Bow Capital, Swift Ventures”
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.
Data Collection Study Moderator — Columbus, Ohio
$22/Hour | Up to 39 Hours/Week | 6-Week Assignment Are you organized, personable, and great at working with people? Do you thrive in fast-paced environments where no two days are the same?
We're hiring a Data Collection Study Moderator in Columbus, Ohio to help lead our exciting onsite AI training data collection project. This is a fantastic short-term opportunity to gain unique experience while earning competitive pay!
What You'll Do
As a Data Collection Study Moderator, you will:
What We're Looking For
Must-Have Qualities:
Additional Requirements:
Bonus points for:
What We Offer
This role offers a unique behind-the-scenes look at how AI technology is built, and the chance to make a real impact on the quality and diversity of AI training data.
About The Role Duration: 6 weeks with strong possibility of extension for high performers
Hours: Up to 30 hours per week (schedule may vary based on session demand)
Location: Columbus, Ohio (onsite position)
Start Date: Immediate or flexible based on availability
Ready to lead, engage, and be part of something innovative? Apply today!
*Important: This is a part time W2 short term contract opportunity with HumanSignal and does not include medical benefits.
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.*