HumanSignal
humansignal.com
Actively hiring
Artificial Intelligence
AI Evaluation & Observability
AI Training Data & Annotation
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Overview
Connections
News
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials
How HumanSignal hires
Truth index
B 75/100
Median time to fill
29 days
Ghost roles
0%
Stale roles
100%
Reposted roles
0%
HumanSignal scores B on the Alion truth index (A is best, E worst), measured over 5 open roles re-checked against its own hiring board: 0% look like ghost listings, 100% have gone stale and 0% are the same role posted again. Its roles close in a median of 29 days. It measures how much of what this employer publishes turns into a real, finite search - not the employer as a workplace. How the index is computed
Connections
List
Graph
Found in company registers, site code, DNS and hiring. Each connection shows how sure we are and the evidence, with its source and date.
Shared investors
Unusual VenturesVia a fund
Redpoint VenturesVia a fund
500 GlobalVia a fund
2163 portfolio companies
Click a company to open it. Dashed lines are likely connections. The second step of the network is part of the Pro plan.
Owner
Same company
Same group
Likely
News
LiDAR annotation without the tool sprawl: point clouds, camera fusion, and tracking in one workspace
Point clouds, calibrated cameras, temporal tracks, and QA belong in one workspace. Here is how the LiDAR interface in Label Studio Enterprise keeps them together.
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Report
One Million Hours of Human Video: Useless Until Someone Labels It
HumanNet assembles roughly one million hours of egocentric human video, but those million hours are not a dataset. They are raw material, and this post is about the labor that turns raw material into training data.
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Report
Teach Docling Your Documents: Ground Truth, Evaluation, and Fine-Tuning with Label Studio
Label Studio connects directly to Docling with a purpose-built annotation interface, native DocLang export, and live predictions from Docling for IBM watsonx.
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Report
Synthetic Data Is Booming. That's Why You Need a Trust Layer.
The synthetic data boom in robotics is real, it's accelerating, and one of the most promising answers to the data bottleneck the field faces. But it has tradeoffs, and it's not a replacement for real-world data.
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Report
Is Your 95% on LIBERO Lying to You?
You fine-tune a Vision-Language-Action model, run it on LIBERO, and post a 95% success rate. The number goes in the paper, the demo video, the investor update. Then you deploy the same model on a real robot in a slightly different room, and it faceplants.
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Report
How Yext Built an AI-in-the-Loop Benchmark with Label Studio Enterprise
Learn how Yext used Label Studio Enterprise to benchmark LLMs against human annotators, build trusted ground truth datasets, and analyze results to improve AI-in-the-loop workflows.
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Report
The Failure Data You're Throwing Away
Learn why success-only training produces brittle robots, what the new generation of failure-centric datasets looks like, and what a failure-annotation schema contains.
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Report
Why Your VLA Model Ignores Language (And the Cheapest Fix in Robotics)
This post explains the data cause behind why language inputs sometimes don't work, where architectural changes fall short, and a fix that is cheap, quantified, and doesn't require collecting a single new trajectory.
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Report
Video Object Segmentation and Tracking with VideoVector tag for SAM 2 in Label Studio
Draw a box around any object and follow it as it moves instead of segmenting frame by frame.
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Report
New Project-level Dashboards for Tracking Annotation Quality, Throughput, and Team Performance
Spot issues and iterate faster with new views into project velocity, label confusion and annotator scores.
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Report
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Tech stack
Technologies named in job postings at HumanSignal over the last 12 months, by layer, with the share of postings for each.
Technologies in use
21
Postings analysed
48
Stack modernity
80/100AI adopter
Languages
Python8%
SQL6%
JavaScript2%
Cloud & platforms
Label Studio100%
Figma21%
AWS2%
AWS Lambda2%
AI & ML
LLM6%
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Full HumanSignal tech stack
21 technologies · by team · pay by technology · changes · similar stacks
Salary insights
Compensation ranges based on this company's open jobs
Median
$80k
Typical range
$40k – $160k
Open positions
4
1
Jobs
Middle
100%
| Level | Jobs | Median | Typical range |
|---|---|---|---|
| Middle | 1 | $90k | $90k |
Highest paying role
Content Creator (Flexible Gig)
$160k
Normalized to USD per year
Growth
Hiring Momentum
93/100
Scaling fast
Open positions
6
21 opened / 19 closed in 30 days
Median time-to-fill
24 days
faster than 51% of the market
ATS activity
Every ~4 hours
Today
Hiring Dynamics
+100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Field & Service
52% ▼
AI/ML
26% ▲
Operations
6% ▲
QA
3% ▲
Administrative
3% ▼
Communications
3% ▲
Actively hiring for Field & Service (+10 in 30 days)
Activity Timeline
Added IAM to stack
Oct 2026
Added AWS Lambda to stack
Oct 2026
Added AWS to stack
Oct 2026
Added Amazon S3 to stack
Oct 2026
Added Amazon EC2 to stack
Oct 2026
Added Agile to stack
Oct 2026
Added Adobe Illustrator to stack
Oct 2026
+14 jobs in a week
Oct 2026
New location: Miami
Oct 2026
New location: Orlando
Oct 2026
New location: Las Vegas
Oct 2026
New location: Raleigh
Sep 2026
Offices
Where the company hires and what each office is for
Cities
2
Hiring now
1
Countries
1
Busiest office
San Francisco
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Headquarters
Builds here
Office with open vacancies
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San Francisco
United States
HQ
San Francisco - US
1 open roles 1 posted in 90 days 1000-5000 est. staff
hires for Finance
Columbus
United States
Regional office
Columbus, OH - Onsite
8 posted in 90 days 1000-5000 est. staff
Earlier presence
New York, United States
Chicago, United States
Atlanta, United States
Raleigh, United States
Las Vegas, United States
Orlando, United States
Miami, United States
Jobs
$75k – $90k per year · Remote (Europe, South America) · 3+ years exp
Python
JavaScript
Multimodal AI
Label Studio
Machine Learning
DevOps
Rest API
AWS
Kubernetes
AWS Lambda
Amazon EC2
Amazon S3
IAM
Management
Agile
Apply
≈ $162k – $285k per year (Estimated) · Remote (United States)
Python
JavaScript
TypeScript
Django
Databases
PostgreSQL
AI/ML
Multimodal AI
Label Studio
Frontend
React.js
DevOps
Kubernetes
Apply