Google DeepMind
Large (~7,000)
Labelbox
Medium (~350)
Best For
Google DeepMind
Best for: AI researchers who want world-class peers and Google-level benefits without sacrificing scientific rigor
Labelbox
Best for: ML infrastructure engineers building data labeling and training platforms for frontier AI labs and enterprises
Ratings
Google DeepMindLabelbox
4.2
3.8
Overall
4.0
3.6
Work-Life Balance
4.3
3.8
Culture & Values
4.2
3.6
Comp & Benefits
4.0
3.5
Senior Mgmt
4.0
3.6
Career Opps
👍 84% Recommend
👤 88% CEO Approval (Demis Hassabis)
👍 72% Recommend
👤 78% CEO Approval (Manu Sharma)
Culture Values
Google DeepMind only
🎧 Deep Work / Low Meetings🌱 Learning & Growth🤖 Ethical AI / Safety🕐 Flexible Hours
Labelbox only
🚀 Ship Fast & Iterate
Shared
⚙️ Engineering-Driven🌈 Diverse & Inclusive💎 Strong Comp & Equity
Pros & Cons
Google DeepMind
- World-class AI research environment with brilliant, collaborative colleagues
- Google-level compensation and benefits with genuine work-life balance
- Google-scale bureaucracy — slow decision-making compared to startups
- Large org means less individual ownership and impact on direction
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
Google DeepMind
Brilliant research environment with strong work-life balance and excellent pay — but Google-scale bureaucracy and post-merger politics slow things down.
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
Google DeepMind — 84 jobs
🧠 ML / AI
24
📋 Product
18
🎨 Design
14
💻 Engineering
5
👤 HR / People
3
📊 Data
2
📣 Marketing
2
Labelbox — 9 jobs
💻 Engineering
3
🧠 ML / AI
3
📊 Data
1
Summary
Google DeepMind scores 4.2/5.0 on Glassdoor with a 4.0 work-life balance rating. Labelbox scores 3.8/5.0 overall with a 3.6 WLB. That’s a 0.4-point gap on overall satisfaction.
Both companies share these culture values: Engineering-Driven, Diverse & Inclusive, Strong Comp & Equity. Google DeepMind also emphasizes Deep Work / Low Meetings, Learning & Growth, Ethical AI / Safety, Flexible Hours. Labelbox also emphasizes Ship Fast & Iterate.
On the hiring front, Google DeepMind has 84 open roles and Labelbox has 9 open roles.