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.

Paid Improv Performers and Voice Actors for an AI Research Study, Up to $500 per Session

Earn up to $500 for a four-hour session performing unscripted, improv-style scenes. HumanSignal is recruiting improv performers, voice actors, and live entertainers to take part in a paid research study. We record people doing everyday tasks and talking naturally so that researchers can study and improve how AI understands real 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.

Compensation and logistics

Pay: Up to $500 per session. You earn $50/hour, plus $100 for each scene accepted into the study.
Type: Temporary, recurring gig work. Book one session or many.
Location: Virtual screening, then in-person recording at local studios.
Dates: Now through November 2026. Weekday, evening, and weekend slots are available.
Referral bonus: Earn $100 for each performer you refer who completes a session. There's no limit on referrals.

What you will do

Perform unscripted scenes of everyday household activities, like cooking, tidying, and folding laundry, in a staged home environment.
Talk with a voice assistant as you work through each scene. Natural, spontaneous dialogue is the core of the job.
Bring the skills you already have. Improvisation, character work, and comfort performing without a script are exactly what we're looking for.

Who we are looking for

Age 18 or older, located in or near Raleigh, NC.
Improv training or performance experience at any level, including classes, student troupes, community theatre, open mics, voice work, or live entertainment. Aspiring and amateur performers are encouraged to apply.
Comfortable being recorded on camera and audio for a full session.
Reliable and on time for scheduled sessions.

We welcome performers of all backgrounds and experience levels. A wide range of voices, speech patterns, and physical presence makes the research more representative of the real world.

How it works

Apply with your name, email, phone number, and a link to sample work.
We'll reach out to schedule a 15-minute screening call on Zoom or Google Meet.
If you're a fit, book an in-person recording session. Evenings and weekends are available.
Perform your session and get paid within a week. Book more sessions if you want them.

This is a research study

Every participant signs a plain-language research agreement before any recording. It states exactly how your recordings are used, and you can ask us anything about it before you commit.

HumanSignal conducts research projects that record people doing everyday tasks in staged environments in order to develop and improve AI and machine learning technologies.
We will not use your name, image, likeness, or voice to advertise, market, or promote any product or service without your separate written consent.
Your recordings are not shared publicly, and they are not used to clone your face or voice or to create synthetic media of you.

About the company

HumanSignal provides a data labeling platform that helps improve AI models by combining automation with human supervision. It offers Label Studio as a subscription-based tool with features like custom UI building, templates, team permissions, and workflow options, supporting multiple data types. Clients subscribe, label data using templates and configurable workflows, and use human review where needed, with options for integrations and advanced support. The goal is to help organizations produce high-quality labeled data at scale, tailored to their needs through a flexible platform and professional services.

Company Size

51-200

Company Stage

Series A

Total Funding

$25.2M

Headquarters

San Francisco, California

Founded

2018

Get referred to HumanSignal

See people who can refer or advise you

Simplify's Take

What believers are saying

December 9, 2025 AWS Marketplace listing shortens enterprise procurement and expands cloud distribution.
HumanSignal raised $25 million in 2026 from Redpoint and existing investors.
Label Studio reached 100,000 users, giving HumanSignal strong community distribution and upsell leverage.

What critics are saying

Open-source Label Studio keeps monetization fragile against free self-hosted adoption.
Labelbox, Scale AI, and CVAT compress differentiation with broader workflows and managed services.
If enterprises standardize on agent-native evaluation tools, Label Studio becomes a niche utility.

What makes HumanSignal unique

Label Studio powers open-source annotation, then sells enterprise governance and on-prem deployment.
June 10, 2026 Interfaces lets agents generate custom labeling UIs from prompts.
August 25, 2026 DocLang integration makes HumanSignal first to export DocLang natively.

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Benefits

Remote Work Options
Performance Bonus

Growth & Insights and Company News

Headcount

6 month growth

1 year growth

2 year growth

-3%

TechCrunch

Dec 15th, 2022

Heartex’S Label Studio Makes Labeling Audio For Ml Easier

Heartex, the well-funded machine learning data labeling startup, is launching a major update to its platform today that will open up new use cases for its tools by making annotating audio files in the commercial and open source versions of its Label Studio a lot easier for its users. These updates include a new user interface, optimized for working with audio files, the ability to annotate longer files (up to two hours in length) and millisecond controls in the built-in annotation tool. There is also now a new rendering engine for displaying waveforms. In a previous update, Heartex also added to its tool features like frame-by-frame video object tracking and an overhauled annotation UI.The company says about 150,000 users are currently relying on Label Studio, with more than 95 million annotations created so far.Image Credits: Heartex“When we were originally thinking about building the data labeling solution, we did a lot of data scientist interviews,” Heartex co-founder and CEO Michael Malyuk told me. “And what we figured out is that many of them say they don’t have enough flexibility with existing tools. There is a tool for images, but you can only put a single image on the screen