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.
Do you love scavenger hunts?
Enjoy exploring the world around you?
Want to get paid competitively while doing something fun, flexible, and impactful?
We’re looking for curious, detail-oriented individuals to join us as AI Data Collectors. In this role, the world becomes your workspace. You’ll help shape the future of AI by capturing high-quality images based on project guidelines—no two assignments are exactly the same.
What You’ll DoAs an AI Data Collector, you will:
Capture assigned images in real-world environments, following specific project guidelines.
Photograph objects, scenes, or activities across a wide range of settings, backgrounds, lighting conditions, and angles.
Travel locally to collect data in homes, offices, stores, parks, streets, or other everyday locations.
Follow detailed instructions to ensure image quality, variation, and accuracy.
Document your process when needed and upload collected data through provided tools.
Work independently, manage your time, and meet project deadlines.
Support the development and improvement of next-generation AI technologies.
You’ll thrive in this role if you:
Love exploring new places and noticing details others might miss
Are reliable, self-motivated, and comfortable working solo
Enjoy task-based, flexible work that changes from project to project
Have a smartphone or camera with solid image quality
Can follow instructions carefully and consistently
Competitive pay
Flexible schedule — work when and where it fits your life
Perfect for people who enjoy movement, creativity, and variety
A chance to directly influence cutting-edge AI systems
No prior experience needed — just enthusiasm and a keen eye!
If you’re ready for work that feels like a real-world scavenger hunt with real rewards, we’d love to have you work with us.
Important: This opportunity is a 1099 contractor assignment and does not constitute employment with HumanSignal.
Up to $100/hour for US based candidates.
Top Skills
What We Do
HumanSignal (formerly known as Heartex) 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.
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