Labelbox
Medium (~350)
OpenAI
Large (~3,500)
Best For
Labelbox
Best for: ML infrastructure engineers building data labeling and training platforms for frontier AI labs and enterprises
OpenAI
Best for: Engineers who want to build frontier AI models at the company defining the industry, with elite compensation
Ratings
LabelboxOpenAI
3.8
4.5
Overall
3.6
3.6
Work-Life Balance
3.8
4.6
Culture & Values
3.6
4.5
Comp & Benefits
3.5
4.3
Senior Mgmt
3.6
4.3
Career Opps
👍 72% Recommend
👤 78% CEO Approval (Manu Sharma)
👍 90% Recommend
👤 95% CEO Approval (Sam Altman)
Culture Values
Labelbox only
🌈 Diverse & Inclusive
OpenAI only
🌱 Learning & Growth🎯 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
OpenAI
- Cutting-edge frontier AI research with world-class colleagues
- Elite compensation — top-tier TC and equity packages
- High-intensity environment — long hours and intense pace are the norm
- Internal politics and rapid org changes as the company scales
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.
OpenAI
High-intensity, mission-driven culture with world-class colleagues and top-tier comp — but expect long hours, rapid org changes, and internal politics as the company scales.
Open Roles
Labelbox — 9 jobs
💻 Engineering
3
🧠 ML / AI
3
📊 Data
1
OpenAI — 655 jobs
💻 Engineering
317
💼 Sales / GTM
57
📋 Product
30
📊 Data
28
🧠 ML / AI
28
📣 Marketing
24
⚙️ Operations
17
⚖️ Legal
13
🎨 Design
10
👤 HR / People
9
💰 Finance
7
🎧 Support
4
Summary
Labelbox scores 3.8/5.0 on Glassdoor with a 3.6 work-life balance rating. OpenAI scores 4.5/5.0 overall with a 3.6 WLB. That’s a 0.7-point gap on overall satisfaction.
Both companies share these culture values: Engineering-Driven, Ship Fast & Iterate, Strong Comp & Equity. Labelbox also emphasizes Diverse & Inclusive. OpenAI also emphasizes Learning & Growth, Direct Product Impact.
On the hiring front, Labelbox has 9 open roles and OpenAI has 655 open roles.