Data Collection Contributor
About the job
- Have a smartphone or camera with solid image quality.
- Follow project instructions carefully and consistently.
- Work independently and manage time to meet project deadlines.
- Complete all data collection safely and lawfully.
- Capture assigned images in real-world environments according to project guidelines.
- Photograph objects, scenes, or activities across a range of settings, backgrounds, lighting conditions, and angles.
- Travel locally to collect data in homes, offices, stores, parks, streets, or other everyday locations.
- Document the process when needed and upload collected data through provided tools.
- Support the development and improvement of next-generation AI technologies.
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
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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
6 month growth
1%1 year growth
0%2 year growth
-3%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
Heartex, a data labeling firm, has raised $25 million in a venture funding round, bringing its total raised to $30 million.