Full-Time

Senior Frontend Engineer

Confirmed live in the last 24 hours

HumanSignal

HumanSignal

11-50 employees

Data labeling platform for AI models

Enterprise Software
AI & Machine Learning

Compensation Overview

$140k - $200kAnnually

Senior

Remote in USA

Category
Frontend Engineering
Software Engineering
Required Skills
JavaScript
React.js
Redux.js
GraphQL
Vue.js
REST APIs
Webpack
AngularJS
HTML/CSS
Django
Requirements
  • Extensive experience developing front-end applications with modern JavaScript frameworks (React, Angular, Vue.js).
  • Strong knowledge of HTML, CSS, and JavaScript (ES6+), with a focus on cross-browser compatibility, accessibility principles, and delivering high-quality, maintainable code.
  • Familiarity with state management libraries (Redux, Vuex) and front-end build tools (Webpack, Vite).
  • Comfort working with backend technologies (e.g., REST APIs, Django GraphQL) and willingness to dive into backend code when needed.
  • A keen eye for design and UX, with a drive to build intuitive and visually appealing interfaces.
  • High user empathy and a focus on delivering value through thoughtful, well-crafted user experiences.
  • A passion and aptitude for impactful communication at a Sr+ SWE IC level, using TDDs, code reviews, presentation, and thoughtful feedback.
  • BSCS, related degree or equivalent practical experience.
Responsibilities
  • Develop and maintain front-end components for our data labeling platform, focusing on performance, scalability, and user experience.
  • Work closely with product, design, and other engineers to translate requirements and mockups into intuitive user interfaces.
  • Participate in code reviews, architecture discussions, and the entire development process, from ideation to production.
  • Establish standards for front-end development, including code style, maintainability, and best practices.
  • Identify areas for improvement in the codebase and drive changes that enhance the overall quality of the product.
  • Mentor and provide guidance to junior engineers on best practices and coding standards.

HumanSignal provides a platform for data labeling that improves the accuracy of AI models by combining automation with human oversight. Their main product, Label Studio, allows users to create custom user interfaces, utilize pre-built labeling templates, manage team permissions, and optimize workflows. This platform is adaptable to various data types and industry requirements, making it suitable for clients in machine learning, data science, and AI development. HumanSignal operates on a subscription model, offering different tiers based on features and support, and also provides additional services like custom integrations. As the demand for data labeling grows with the rise of AI technologies, HumanSignal aims to be a leading provider by offering a flexible and comprehensive solution tailored to client needs.

Company Stage

Series A

Total Funding

$24.5M

Headquarters

San Francisco, California

Founded

2018

Growth & Insights
Headcount

6 month growth

0%

1 year growth

-20%

2 year growth

0%
Simplify Jobs

Simplify's Take

What believers are saying

  • The recent $25 million funding round indicates strong investor confidence and provides ample resources for further innovation and growth.
  • The platform's ability to handle long audio files and its new rendering engine for waveforms make it highly competitive in the data labeling market.
  • With 150,000 users and over 95 million annotations, HumanSignal has a robust user base that can drive community-driven improvements and widespread adoption.

What critics are saying

  • The competitive landscape for data labeling tools is intense, with numerous well-funded competitors vying for market share.
  • Relying heavily on the open-source community for innovation and support could pose challenges in maintaining consistent quality and security.

What makes HumanSignal unique

  • HumanSignal's Label Studio offers a highly flexible and user-friendly interface for annotating audio files, which is a significant improvement over existing tools that often lack such capabilities.
  • The platform's open-source nature allows for extensive customization, making it a preferred choice for data scientists who require tailored solutions.
  • With features like frame-by-frame video object tracking and millisecond controls, HumanSignal provides a comprehensive suite of tools that cater to a wide range of machine learning data labeling needs.

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