Labelbox
Medium (~350)
Lambda
Mid (~500)
Best For
Labelbox
Best for: ML infrastructure engineers building data labeling and training platforms for frontier AI labs and enterprises
Lambda
Best for: Professionals interested in Lambda
Ratings
LabelboxLambda
3.8
3.6
Overall
3.6
3.7
Work-Life Balance
3.8
3.7
Culture & Values
3.6
3.6
Comp & Benefits
3.5
3.4
Senior Mgmt
3.6
3.4
Career Opps
👍 72% Recommend
👤 78% CEO Approval (Manu Sharma)
👍 72% Recommend
👤 76% CEO Approval (CEO)
Culture Values
Labelbox only
🌈 Diverse & Inclusive
Lambda only
🎯 Direct Product Impact
Shared
⚙️ Engineering-Driven🚀 Ship Fast & Iterate💎 Strong Comp & Equity
Pros & Cons
Labelbox
- Competitive compensation and equity
- Working with top AI labs as customers
- Rapid growth creates organizational churn
- Some teams move faster than others
Lambda
- Building the GPU cloud that powers the world’s top AI labs — genuinely impactful infrastructure
- Smart engineering team with strong technical culture and good WLB on most teams
- Management style described as top-down; strategy clarity could be better
- Internal politics and coordination overhead slow things down for some teams
Bottom Line
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.
Lambda
Lambda — check Glassdoor for detailed reviews.
Open Roles
Labelbox — 9 jobs
💻 Engineering
3
🧠 ML / AI
3
📊 Data
1
Lambda — 32 jobs
💻 Engineering
14
💰 Finance
6
📋 Product
4
👤 HR / People
2
⚖️ Legal
1
Summary
Labelbox scores 3.8/5.0 on Glassdoor with a 3.6 work-life balance rating. Lambda scores 3.6/5.0 overall with a 3.7 WLB. That’s a 0.2-point gap on overall satisfaction.
Both companies share these culture values: Engineering-Driven, Ship Fast & Iterate, Strong Comp & Equity. Labelbox also emphasizes Diverse & Inclusive. Lambda also emphasizes Direct Product Impact.
On the hiring front, Labelbox has 9 open roles and Lambda has 32 open roles.