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.

QA Specialist

HumanSignal is looking for QA Specialists to support an audio and video data processing project. You'll work with recorded media files, align audio and video, trim recordings, and perform quality checks using our Label Studio platform and established processing guidelines.

This is a hands-on, detail-oriented role that could be a great fit for individuals with experience in data annotation, media editing, quality assurance, or anyone who is tech-savvy, organized, and comfortable working with digital tools.

What you’ll do

Retrieve and organize audio and video recordings from designated storage locations and import them into Label Studio.
Synchronize multiple audio and video recordings, aligning footage and audio waveforms to the correct timestamps according to project guidelines.
Trim recordings to the required start and end points, ensuring all relevant content is retained.
Follow established playbooks for media alignment, trimming, file naming, export settings, and file size requirements.
Perform quality checks to identify missing files, synchronization errors, incomplete recordings, or other inconsistencies.
Save, export, and organize completed files according to the required formats and submission procedures.
Troubleshoot basic processing or platform issues, proactively flagging problems and escalating concerns when needed.
Maintain accuracy and consistency while meeting expected daily processing and quality targets.
Communicate progress, blockers, and recurring issues to the project team to help improve workflows.

Who you are

You're detail-oriented, organized, and comfortable working on tasks that require accuracy and consistency.
You're tech-savvy and confident learning new software, platforms, and digital workflows.
You can follow detailed instructions and established guidelines with minimal supervision.
You're proactive, resourceful, and comfortable troubleshooting issues as they arise.
You communicate clearly and raise concerns early when something doesn't look right.
You can manage repetitive, detail-heavy tasks while maintaining quality and meeting deadlines.
Experience with data annotation, quality assurance, audio/video editing, or media processing is a plus, but not required.

Details

Contract Duration: To be confirmed during the recruitment process
Up to 40 hours per week
$30 to $50 per hour, depending on relevant experience
Occasional evening and weekend availability required
Remote-US role with team based in Hoboken, NJ and surrounding areas

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.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Remote Work Options
Performance Bonus

Growth & Insights and Company News

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

TechCrunch

May 18th, 2022

Heartex raises $25M for its AI-focused, open source data labeling platform

Heartex, a data labeling firm, has raised $25 million in a venture funding round, bringing its total raised to $30 million.

HumanSignal

QA Specialist

About the job