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.

Field Data Collection Specialist

HumanSignal is looking for Field Data Collection Specialists in the Columbus area to support a short-term, outdoor data collection project. You’ll travel to assigned locations, navigate a variety of outdoor environments, and use specialized equipment to collect high-quality field data.

This is an active, hands-on role that could be a great fit for hikers, outdoor enthusiasts, land surveyors, or anyone who enjoys spending significant time outdoors, navigating different locations, and working with technology.

What you’ll do

Travel to assigned data collection locations within approximately one hour of Columbus.
Use mobile devices and specialized equipment to collect field data according to defined project requirements.
Follow detailed collection protocols to ensure data is captured accurately and consistently.
Navigate assigned locations and complete designated routes independently.
Communicate progress, technical issues, and field challenges to the project team.
Complete assigned work and project deliverables on schedule.

Who you are

You have reliable personal transportation and a valid driver’s license.
You are technically savvy and comfortable learning new devices, applications, and equipment.
You can work independently, stay organized, and carefully follow detailed instructions.
You are dependable and comfortable navigating unfamiliar locations and environments.
Experience with LiDAR, land surveying, GIS, mapping, or geospatial technology is a plus, but not required.
Experience or a strong interest in hiking, outdoor recreation, location-based activities, or similar activities is a plus.

Physical & field requirements

The following are essential functions of this field-based role and must be performed with or without reasonable accommodation:

Stand and walk for extended periods throughout the workday.
Walk or hike up to approximately 5 miles at one time and up to approximately 10 miles over the course of a day.
Navigate uneven, unpaved, and rough outdoor terrain.
Carry approximately 15–20 pounds of field equipment in a backpack for sustained periods while walking or hiking.
Work outdoors across varying terrain and typical seasonal weather conditions.

HumanSignal will consider reasonable accommodations for qualified individuals with disabilities to enable them to perform the essential functions of the role.

Details

3-week contract
Approximately 40 hours/week
$1,000–$1,200/week, depending on relevant experience
Occasional evening and weekend availability required
Field-based work in Columbus and surrounding areas
Reliable personal transportation required

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

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

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

Field Data Collection Specialist

About the job