Hugging Face
Small (~400)
Labelbox
Medium (~350)
Best For
Hugging Face
Best for: Open-source enthusiasts who value remote flexibility over top comp
Labelbox
Best for: ML infrastructure engineers building data labeling and training platforms for frontier AI labs and enterprises
Ratings
Hugging FaceLabelbox
3.8
3.8
Overall
4.1
3.6
Work-Life Balance
4.2
3.8
Culture & Values
3.4
3.6
Comp & Benefits
3.6
3.5
Senior Mgmt
3.5
3.6
Career Opps
👍 78% Recommend
👤 85% CEO Approval (Clement Delangue)
👍 72% Recommend
👤 78% CEO Approval (Manu Sharma)
Culture Values
Hugging Face only
🔓 Open Source🤝 Flat Hierarchy🌐 Remote-Friendly🕐 Flexible Hours🪟 Transparent🧩 Wears Many Hats📡 Async-First
Labelbox only
⚙️ Engineering-Driven🚀 Ship Fast & Iterate💎 Strong Comp & Equity🌈 Diverse & Inclusive
Shared
None
Pros & Cons
Hugging Face
- True open-source DNA — you work on things millions of developers actually use
- Remote-first and async culture that actually works across time zones
- Below-market comp compared to FAANG
- Career progression is unclear — no well-defined ladder
Labelbox
- Competitive compensation and equity
- Working with top AI labs as customers
- Rapid growth creates organizational churn
- Some teams move faster than others
Bottom Line
Hugging Face
Choose Hugging Face if you want to build tools millions of ML devs use with true remote freedom — but comp lags FAANG.
Labelbox
Choose Labelbox if you want to work on the data side of AI — labeling, evaluation, and training infrastructure used by frontier AI teams — with moderate SF-based intensity.
Open Roles
Hugging Face — 9 jobs
🧠 ML / AI
6
💻 Engineering
2
Labelbox — 9 jobs
💻 Engineering
3
🧠 ML / AI
3
📊 Data
1
Summary
Hugging Face scores 3.8/5.0 on Glassdoor with a 4.1 work-life balance rating. Labelbox scores 3.8/5.0 overall with a 3.6 WLB. They’re tied on overall satisfaction.
On the hiring front, Hugging Face has 9 open roles and Labelbox has 9 open roles.