DeepL
Large (~1,570)
Labelbox
Medium (~350)
Best For
DeepL
Best for: NLP and backend engineers interested in language AI who prioritize work-life balance over compensation and fast career growth
Labelbox
Best for: ML infrastructure engineers building data labeling and training platforms for frontier AI labs and enterprises
Ratings
DeepLLabelbox
3.2
3.8
Overall
4.0
3.6
Work-Life Balance
3.3
3.8
Culture & Values
3.2
3.6
Comp & Benefits
3.0
3.5
Senior Mgmt
3.0
3.6
Career Opps
👍 64% Recommend
👤 67% CEO Approval (Jaroslaw Kutylowski)
👍 72% Recommend
👤 78% CEO Approval (Manu Sharma)
Culture Values
DeepL only
⚖️ Work-Life Balance🕐 Flexible Hours🎯 Direct Product Impact🌱 Learning & Growth
Labelbox only
⚙️ Engineering-Driven🚀 Ship Fast & Iterate💎 Strong Comp & Equity
Shared
🌈 Diverse & Inclusive
Pros & Cons
DeepL
- Great product with big-name customers — startup vibe with corporate safety net
- Good salary, very international team of 90+ nationalities with good work-life balance
- Intransparent leadership — hidden salary bands, top-down decisions with no feedback loop
- High employee churn with repeated downsizing despite positive financial messaging
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
DeepL
DeepL's language models are impressive, but Glassdoor tells a cautionary story (3.2 overall, 64% recommend) — reviews cite weak management and limited career progression despite decent WLB.
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
DeepL — 59 jobs
💼 Sales / GTM
29
💻 Engineering
6
🎧 Support
4
🧠 ML / AI
3
👤 HR / People
2
📊 Data
1
⚖️ Legal
1
📣 Marketing
1
⚙️ Operations
1
📋 Product
1
Labelbox — 9 jobs
💻 Engineering
3
🧠 ML / AI
3
📊 Data
1
Summary
DeepL scores 3.2/5.0 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 0.6-point gap on overall satisfaction.
Both companies share these culture values: Diverse & Inclusive. DeepL also emphasizes Work-Life Balance, Flexible Hours, Direct Product Impact, Learning & Growth. Labelbox also emphasizes Engineering-Driven, Ship Fast & Iterate, Strong Comp & Equity.
On the hiring front, DeepL has 59 open roles and Labelbox has 9 open roles.