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HumanSignal

Data labeling platform with human supervision

Data Collection Contributor

AI & Machine LearningConfirmed live in the last 24 hours
Full-timeUnited States$20 /hr

About the Job

Requirements

  • You should love exploring new places and noticing details others might miss.
  • You should be reliable, self-motivated, and comfortable working solo.
  • You should enjoy task-based, flexible work that changes from project to project.
  • You should have a smartphone or camera with solid image quality.
  • You should be able to follow instructions carefully and consistently.

Responsibilities

  • 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.

About the Company

HumanSignal

Data labeling platform with human supervision

HumanSignal provides a data labeling platform that helps improve AI models by combining automation with human supervision. Label Studio is a subscription-based tool with features like custom UI building, pre-built labeling templates, team permissions, and workflow optimization, supporting multiple data types so clients can label data using automated processes and human review as needed, with optional custom integrations and advanced support. It differentiates itself by blending automated labeling with human-in-the-loop review in a highly configurable platform, including per-user permissions, adaptable UI, and workflow customization across data types. Its goal is to help organizations produce high-quality labeled data at scale for AI models through a flexible labeling platform plus professional services and integrations.

Company size
51-200
Company stage
Series A
Total funding
$25.2M
Headquarters
San Francisco, CA
Founded
2018

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