About HumanSignal
Real-world data is the competitive edge in AI.
HumanSignal is a human data partner for companies building AI models and products. Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery.
We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the open-source standard for data labeling and evaluation, used by over 1 million practitioners worldwide.
We specialize in the operationally complex: real-world data collection, multimodal pipelines, and multi-step workflows. Advanced ML and AI teams use our enterprise platform to run their own data factories, and our services team to extend their reach where in-house capacity runs out.
If you want to do work that materially shapes how the next generation of AI products gets built, we'd love to talk.
Get paid $200 per four-hour session performing unscripted, improv-style scenarios at our downtown Columbus studio. HumanSignal is recruiting improv performers, voice actors, and live entertainers for on-camera recording sessions that train consumer AI devices to understand natural human behavior. If you can hold a scene, think on your feet, and move and talk naturally without a script, you can do this work.
We welcome performers of all backgrounds and experience levels. A wide range of voices, speech patterns, and physical presence makes the resulting AI more representative of the real world.
The footage from your sessions is used as training data for consumer AI devices. It is not used to clone anyone's face or voice or generate synthetic media of you. Before any recording, you review and sign a plain-language agreement that states exactly how the material is used, and you can ask us anything about it before you commit.
Recordings are used only for AI research and training. They are not shared publicly and are not used for advertising or any other commercial purpose. Consent, transparency, and respect guide how we collect and store this material.