Labelbox
labelbox.com
Actively hiring
AI Training Data & Annotation
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Overview
News
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials
Funding and backers
Total raised
$65M
3 rounds on record
Latest round
$40M
Series C · Feb 2021 · 5 yr ago
Team
103
US Form 5500 (plan participants) · Dec 2024
Hiring now
7
+1 posted in 30 days
Grants
$50k
1 grant · CORDIS
Backers
4
Kleiner Perkins, Andreessen Horowitz
The money's age
Long since its last round
68 months since the last round · and hiring
Momentum
16/100
hiring for its size, a new city
Last sign of life
this month
a posting or a news item
The story so fareach stage dated by its source: the company's releases, the press, registers, filings
Feb 11, 2021
Raised a round Series C $40M · sai
Mar 9, 2020
Won a grant $50k · CORDIS
Feb 4, 2020
Raised a round Series B $25M · globenewswire
2018
Founded
Tractionpublic signals, read monthly
Web presence
top 0.03%
of 133.2M domains by links, Common Crawl
Hacker News stories
11
best: 20 points
Funding rounds
| Round | Date | Amount | Investors | Source |
|---|---|---|---|---|
| Series C | Feb 2021 | $40M | — | sai |
| Grant | Mar 2020 | $50k | — | CORDIS |
| Series B | Feb 2020 | $25M | — | globenewswire |
Backed byfrom the funds' portfolios and accelerator catalogs
Kleiner Perkins 
Andreessen Horowitz 
First Round 
TAU Ventures Investors in similar startupsfunds that back the companies most like this one
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How Labelbox hires
Truth index
A 86/100
Ghost roles
0%
Stale roles
57%
Reposted roles
0%
Labelbox scores A on the Alion truth index (A is best, E worst), measured over 7 open roles re-checked against its own hiring board: 0% look like ghost listings, 57% have gone stale and 0% are the same role posted again. 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
Visa sponsorship
- United States · H-1B filings in 12 months: 19 · green card filings: 1
Overview
Labelbox is a San Francisco company founded in 2018 that provides a data engine for training and evaluating machine learning models. Its platform combines annotation tooling, model-assisted labelling and quality analytics, and it operates an expert workforce marketplace for tasks that require domain knowledge. Customers range from computer vision teams to frontier labs sourcing human preference data.
News
Labelbox acquires agentic sales automation startup, Upcraft, to rapidly scale the human expertise powering frontier AI
/PRNewswire/ -- Labelbox, the leading data factory trusted by top AI labs and enterprises, has acquired Upcraft, a pioneer in AI-powered sales automation. This...
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Report
Inside the data factory: How Labelbox produces the highest quality data at scale
Inside the Labelbox AI data factory: take a look at the key tools, techniques, and processes that ensure top-quality data production, highlighting best practices for measuring and managing data quality.
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Report
How to leverage Google's Gemini models in Labelbox Foundry for building AI
Learn how you can easily evaluate Gemini models, compare them to other powerful foundation models like Open AI's GPT-4, and choose the best model for your use case with model foundry in Labelbox.
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Report
Labelbox Introduces Large Language Model (Llm) Solution To Help Enterprises Innovate With Generative Ai, Expands Partnership With Google Cloud
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Report
What does it mean when an LLM
LLM responses can be factually incorrect. Learn why reinforcement learning (RLHF) is important to help mitigate LLM hallucinations.
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Report
Using Meta's Segment Anything (SAM) model with YOLOv8 to automatically classify masks
Learn how to use Meta's Segment Anything (SAM) model with YOLOv8 to automatically classify masks.
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Report
How vector similarity search works
Get a high-level introduction of how vector similarity search works and how it's helping teams get access to information faster.
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Report
Using reinforcement learning from human feedback to fine-tune large language models
Learn how reinforcement learning from human feedback can be used to train models on tasks that are harder to specify.
Read more
Report
Labelbox joins Air Force
/PRNewswire/ -- Labelbox today announced it has been awarded a $950 million ceiling indefinite-delivery/indefinite-quantity contract by the U.S. Air Force. The...
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Tech stack
Technologies named in job postings at Labelbox over the last 12 months, by layer, with the share of postings for each.
Technologies in use
55
Postings analysed
11
Stack modernity
88/100AI adopter
Languages
Python36%
C++18%
Go18%
Rust18%
Frameworks & libraries
Gymnasium18%
React.js18%
Redux18%
Databases
Google Cloud Spanner18%
MySQL18%
PostgreSQL18%
Cloud & platforms
Databricks100%
GCP45%
Kubernetes36%
AWS27%
AI & ML
LLM45%
Llama9%
Mistral9%
Qwen9%
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Full Labelbox tech stack
55 technologies · by team · pay by technology · changes · similar stacks
Salary insights
Compensation ranges based on this company's open jobs
Median
$230k
Typical range
$200k – $300k
Open positions
5
3
Jobs
Junior
33.3%
Staff
66.7%
| Level | Jobs | Median | Typical range |
|---|---|---|---|
| Junior | 1 | $200k | $200k |
| Staff | 2 | $240k | $200k – $280k |
Highest paying role
Forward Deployed Research Scientist
$300k
Normalized to USD per year
All salaries at Labelbox
By role, level and city, against the market · 5 jobs with pay
Growth
Hiring Momentum
64/100
Growing
Open positions
7
1 opened / 3 closed in 30 days
Median time-to-fill
100 days
faster than 14% 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.
AI/ML
50% ▲
Finance
25% ▼
HR
25% ▼
Activity Timeline
New location: United States
Oct 2026
Added Machine Learning to stack
Sep 2026
Added SIEM to stack
Sep 2026
Added Reward Modeling to stack
Sep 2026
Added Computer Use to stack
Sep 2026
Added Apache Kafka to stack
Sep 2026
Added Azure Data Factory to stack
Sep 2026
Added LinkedIn to stack
Sep 2026
Added GitHub to stack
Sep 2026
Added Edge AI to stack
Sep 2026
Added OpenAI to stack
Sep 2026
Added Google Sheets to stack
Sep 2026
Offices
Where the company hires and what each office is for
Cities
7
Hiring now
1
Countries
3
Busiest office
San Francisco
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Headquarters
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San Francisco
United States
HQ
San Francisco Bay Area
6 open roles 2 posted in 90 days 50% engineering 200-500 est. staff $242k Avg Salary
hires for AI/ML, Solutions, Industrial Engineering
New York
United States
Regional office
New York City Metropolitan Area
Warsaw
Poland
Regional office
Warsaw, Poland
Kraków
Poland
Regional office
Kraków, Poland
Wrocław
Poland
Regional office
Wrocław, Poland
Noida
India
Regional office
Noida, India
Fort Lauderdale
United States
Regional office
Fort Lauderdale, Florida
Jobs
$140k – $200k per year • Equity • In office • 2+ years exp • San Francisco
Python
Go
Rust
C++
Databricks
AI/ML
Reinforcement Learning
AI Agents
Gymnasium
Computer Use
DevOps
GCP
Podman
CI/CD
AWS
Docker
Kubernetes
Amazon EKS
Amazon ECS
Apply
$250k – $280k per year • Equity • In office • 3+ years exp • San Francisco
Python
JavaScript
Java
Kotlin
TypeScript
Node JS
MySQL
PostgreSQL
Databricks
Apache Kafka
Google Cloud Spanner
AI/ML
Fine-tuning
AI Agents
LLM
DPO
SFT
PPO
GRPO
Post-training
Frontend
Redux
GraphQL
React.js
DevOps
GCP
Kubernetes
Analytics
Azure Data Factory
Apply
$140k – $200k per year • Equity • In office • 2+ years exp • San Francisco
Python
Go
Rust
C++
Databricks
AI/ML
Reinforcement Learning
AI Agents
Gymnasium
Human-in-the-Loop
Computer Use
DevOps
GCP
Podman
CI/CD
AWS
Docker
Kubernetes
Amazon EKS
Amazon ECS
Apply
$200k – $300k per year • Equity • In office • Master's Degree • San Francisco
Databricks
AI/ML
Qwen
Fine-tuning
RLHF
Reinforcement Learning
NLP
Llama
Mistral
LLM
DPO
SFT
LLM Evaluation
Reward Modeling
Machine Learning
Apply
≈ $166k – $347k per year (Estimated) • Equity • In office • San Francisco
Databricks
AI/ML
RLHF
Reinforcement Learning
LLM
Apply