Full-Time

Operations Associate

Updated on 9/3/2026

HumanSignal

HumanSignal

51-200 employees

Data labeling platform with human supervision

Compensation Overview

$70k - $90k/yr

San Francisco, CA, USA

In Person

On-site role based in San Francisco; no remote work.

Bachelor's

Category
Business & Strategy (1)
Required Skills
SQL
Data Analysis

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Requirements
  • 2+ years of experience in an operational role or top-tier consulting firm
  • Undergraduate degree in an analytics-heavy field (Engineering, Economics, or related)
  • Action-oriented; balances creative problem-solving with scrappy execution
  • Strong analytical and process-improvement capability
  • Proficiency in SQL or demonstrated analytical tooling skills
Responsibilities
  • Build and drive critical operational processes to meet day-to-day customer delivery commitments
  • Manage daily operations across multiple Fellow or contributor programs, including onboarding, workflow coordination, and ongoing program health
  • Maintain operational trackers and documentation to ensure consistent execution and follow-through across the team
  • Monitor contributor engagement and flag retention or performance risks before they become delivery issues
  • Create an effective feedback loop between frontline operations, product, strategy, and customers
  • Identify recurring bottlenecks and recommend process improvements; run pilots and experiments to test solutions
  • Collaborate with SPLs, TPMs, Customer Operations, and Product teams to improve processes for new and existing customers
Desired Qualifications
  • Experience in marketplace, logistics, or workforce platform operations
  • Familiarity with tools like Zendesk, Notion, or Airtable
  • Exposure to AI/ML workflows, data annotation, or contributor management
  • Entrepreneurial mindset; comfortable in fast-moving, ambiguous environments

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 Jobs

Simplify's Take

What believers are saying

  • June 2026 product updates targeted agentic AI evaluation and multimodal interfaces.
  • HumanSignal raised $25 million from Redpoint and existing investors, supporting expansion.
  • The Erud AI acquisition positions HumanSignal for frontier model training demand in 2026.

What critics are saying

  • August 2026 CVE-2026-72560 exposed SSRF in Label Studio through version 1.24.0.dev0.
  • Open-source competitors can copy labeling features quickly, compressing HumanSignal’s software margins.
  • If Services fails, Enterprise buyers can bypass HumanSignal by hiring cheaper annotation vendors.

What makes HumanSignal unique

  • Label Studio 1.23 added vector annotation, interactive task source, and data manager improvements in 2026.
  • HumanSignal combines open-source Label Studio with enterprise workflows, permissions, and custom interface building.
  • November 2025 Erud AI acquisition added physical data labs and expert annotation services.

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Benefits

Remote Work Options

Performance Bonus

Growth & Insights and Company News

Headcount

6 month growth

-1%

1 year growth

-11%

2 year growth

-12%
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.