Labelbox vs Mistral AI

Labelbox vs Mistral AI: Culture Compared

Labelbox (3.8 Glassdoor) vs Mistral AI (4.0 Glassdoor) — side-by-side on culture values, work-life balance, compensation, and open roles.

Labelbox

Labelbox

Medium (~350)
Mistral AI

Mistral AI

Small (~100)
Labelbox
Best for: ML infrastructure engineers building data labeling and training platforms for frontier AI labs and enterprises
Mistral AI
Best for: Researchers who want to build open-weight models at a fast-moving European AI lab
LabelboxMistral AI
3.8
4.0
Overall
3.6
3.6
Work-Life Balance
3.8
4.2
Culture & Values
3.6
4.0
Comp & Benefits
3.5
3.8
Senior Mgmt
3.6
3.5
Career Opps
πŸ‘ 72% Recommend πŸ‘€ 78% CEO Approval (Manu Sharma)
πŸ‘ 80% Recommend πŸ‘€ 85% CEO Approval (Arthur Mensch)
Labelbox only
πŸ’Ž Strong Comp & Equity🌈 Diverse & Inclusive
Mistral AI only
🀝 Flat Hierarchy🧩 Wears Many HatsπŸ”“ Open Source
Shared
βš™οΈ Engineering-DrivenπŸš€ Ship Fast & Iterate

Labelbox

  • βœ“Competitive compensation and equity
  • βœ“Working with top AI labs as customers
  • βœ—Rapid growth creates organizational churn
  • βœ—Some teams move faster than others

Mistral AI

  • βœ“Small team punching way above weight β€” Mixtral, Mistral Large
  • βœ“European AI champion with strong research DNA
  • βœ—Very early-stage β€” processes are minimal
  • βœ—Paris-centric with limited remote options
Labelbox
Choose Labelbox if you want to work on the data side of AI β€” labeling, evaluation, and training infrastructure used by frontier AI teams β€” with moderate SF-based intensity.
Mistral AI
Choose Mistral if you want small-team impact at Europe's top AI lab β€” but expect minimal process and Paris-first culture.

Labelbox β€” 9 jobs

πŸ’» Engineering
3
🧠 ML / AI
3
πŸ“Š Data
1

Mistral AI β€” 150 jobs

πŸ’» Engineering
51
πŸ’Ό Sales / GTM
14
🧠 ML / AI
13
βš–οΈ Legal
11
πŸ“‹ Product
8
πŸ‘€ HR / People
7
πŸ“£ Marketing
6
βš™οΈ Operations
4
πŸ’° Finance
3
πŸ“Š Data
2
🎨 Design
2

Labelbox scores 3.8/5.0 on Glassdoor with a 3.6 work-life balance rating. Mistral AI scores 4.0/5.0 overall with a 3.6 WLB. That’s a 0.2-point gap on overall satisfaction.

Both companies share these culture values: Engineering-Driven, Ship Fast & Iterate. Labelbox also emphasizes Strong Comp & Equity, Diverse & Inclusive. Mistral AI also emphasizes Flat Hierarchy, Wears Many Hats, Open Source.

On the hiring front, Labelbox has 9 open roles and Mistral AI has 150 open roles.

Read more: Working at Mistral