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.
Location: Remote
Type: Part-Time Contract (10-20 hours/week, flexible scheduling)
Duration: 3-6 months with potential for ongoing work
Compensation: Commensurate with experience
You'll annotate architectural floor plans to train computer vision models that automatically recognize and segment building elements - contributing to cutting-edge technology that transforms how spaces are designed and visualized.
You're highly detail-oriented - You notice when walls don't align or when accessibility features are missing. Small inconsistencies don't escape your attention.
You understand spatial relationships - You can mentally visualize 3D spaces from 2D drawings and understand whybuildings are organized the way they are.
You're consistent - You find satisfaction in doing precise work to a high standard and take pride in quality craftsmanship.
You're a clear communicator - You flag problems early, ask clarifying questions, and aren't afraid to say "I'm not sure about this element."
You're curious about technology - You're genuinely interested in how AI learns from annotated data and see value in the intersection of architecture and machine learning.
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.
Please mention you found this job on AI Jobs. It helps us get more startups to hire on our site. Thanks and good luck!
Be the first to apply. Receive an email whenever similar jobs are posted.
Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.
Architect Q&A's