Labelbox
labelbox.com
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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
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
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Technologies
Tech DNA
Python
Java
Kotlin
React.js
Google Cloud Spanner
MySQL
PostgreSQL
GCP
AWS
Azure
LLM
Claude
Llama
Backend
Java
Kotlin
Node JS
Go
Rust
Apache Kafka
GraphQL
AI/ML
Python
SQL
C++
Databricks
LLM
GCP
Fine-tuning
Reinforcement Learning
Kubernetes
Google Cloud Spanner
MySQL
PostgreSQL
RLHF
AI Agents
DPO
SFT
AWS
CI/CD
Claude
Claude Code
Cursor
Llama
Mistral
NLP
Qwen
Gymnasium
GRPO
Post-training
PPO
LLM Evaluation
Human-in-the-Loop
Azure
Amazon EKS
Docker
Podman
Amazon ECS
Other
TypeScript
JavaScript
React.js
Redux
Stack modernity
88/100
How modern this stack is, based on technology relevance, AI adoption and the share of legacy tools.
In-demand technologies
Databricks
6 jobs
Required
LLM
5 jobs
Required
GCP
4 jobs
Required
Python
3 jobs
Required
Fine-tuning
3 jobs
Required
Kubernetes
3 jobs
Required
Reinforcement Learning
3 jobs
Required
JavaScript
2 jobs
Required
Salary medians are calculated from this company's open jobs and compared with the market.
Industry adoption
Python
20%
AWS
16%
JavaScript
15%
CI/CD
15%
SQL
14%
Kubernetes
14%
Share of companies in the same industry that use each technology.
Stack changes
Human-in-the-Loop
Aug 2026
Amazon ECS
Aug 2026
LLM Evaluation
Aug 2026
SFT
Aug 2026
PPO
Aug 2026
Post-training
Aug 2026
GRPO
Aug 2026
DPO
Aug 2026
Technologies recently added to or removed from this company's stack - a signal of tech migrations and new initiatives.
Bosch
Jobgether
Adobe
NVIDIA
Citi
OKX
Growth
Hiring Momentum
38/100
Slowing
Open positions
6
0 opened / 0 closed in 30 days
ATS activity
Every ~7 hours
08/31/2026
Hiring Dynamics
0%
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
25% ▲
Backend
25% ▼
Security
25% ▼
Management
25% ▼
Activity Timeline
Added Rust to stack
Aug 2026
Added Podman to stack
Aug 2026
Added Gymnasium to stack
Aug 2026
Added Go to stack
Aug 2026
Added Docker to stack
Aug 2026
Added C++ to stack
Aug 2026
Added Amazon EKS to stack
Aug 2026
Added AI Agents to stack
Aug 2026
Added Qwen to stack
Aug 2026
Added NLP to stack
Aug 2026
Added Mistral to stack
Aug 2026
Added Llama to stack
Aug 2026
Jobs
≈ $185k – $376k per year (Estimated) • Equity • In office • 3+ years exp • San Francisco
Java
Kotlin
Node JS
Python
TypeScript
JavaScript
Apache Kafka
Databricks
Google Cloud Spanner
MySQL
PostgreSQL
AI/ML
Fine-tuning
LLM
DPO
GRPO
Post-training
PPO
SFT
AI Agents
Frontend
GraphQL
React.js
Redux
DevOps
GCP
Kubernetes
Apply
≈ $191k – $357k per year (Estimated) • Equity • In office • Freelance • 4+ years exp • San Francisco
Java
Kotlin
Node JS
Python
TypeScript
JavaScript
Apache Kafka
Databricks
Google Cloud Spanner
MySQL
PostgreSQL
AI/ML
Fine-tuning
LLM
Frontend
GraphQL
React.js
Redux
DevOps
GCP
Kubernetes
Apply
Equity • In office • Internship • Bachelor's Degree • San Francisco
SQL
Databricks
AI/ML
Claude
Claude Code
Cursor
LLM
DevOps
AWS
Azure
CI/CD
GCP
Apply
≈ $186k – $357k per year (Estimated) • Equity • In office • San Francisco
Databricks
AI/ML
LLM
Reinforcement Learning
RLHF
Apply
≈ $155k – $339k per year (Estimated) • Equity • In office • Master's Degree • San Francisco
Databricks
AI/ML
Fine-tuning
Llama
LLM
Mistral
NLP
Qwen
Reinforcement Learning
RLHF
DPO
LLM Evaluation
SFT
Apply
≈ $116k – $229k per year (Estimated) • Equity • In office • 2+ years exp • San Francisco
C++
Go
Python
Rust
Databricks
AI/ML
AI Agents
Gymnasium
Reinforcement Learning
Human-in-the-Loop
DevOps
Amazon EKS
AWS
CI/CD
Docker
GCP
Podman
Kubernetes
Amazon ECS
Apply