Data Labeling Quality Specialist Interview Experience - Saint Louis, Missouri
Process
The in-person interview was pretty simple. Some pretty basic questions were asked about previous experience, where you see yourself, and learning new skills. It was much more conversational, building off what was said rather than just going through a list.
Questions
What is something you've recently taught yourself, and how did you go about it?
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Interview Statistics
The following metrics were computed from 2 interview experiences for the Scale AI Data Labeling Quality Specialist role in Saint Louis, Missouri.
Success Rate
Scale AI's interview process for their Data Labeling Quality Specialist roles in Saint Louis, Missouri is fairly selective, failing a large portion of engineers who go through it.
Experience Rating
Candidates reported having very good feelings for Scale AI's Data Labeling Quality Specialist interview process in Saint Louis, Missouri.
Scale AI Work Experiences
- 3.0Unorganized/Bad WLBSoftware Engineer • Former EmployeeSan Francisco, CAApril 21, 2024Pros: Work can be really impactful. Coworkers are smart and hard-working.Cons: Lots of work and bad wlb. Retention has always been a problem and never gets fixed.
- 1.0toxic culture, crazy hoursSoftware Engineer • Current EmployeeSan Francisco, CAMarch 2, 2025Pros: Good amenities in the office.Cons: You cannot overstate how toxic the culture is and how bad the working hours are.
- 4.0Chaotic work environment but lots of talentSoftware Engineer • Current EmployeeSan Francisco, CAMay 29, 2025Pros: 1. You'll learn quickly. 2. Smart colleagues. 3. An entrepreneurial environment of lots of people coming from startups and leaving to do their own startup. 4. You interface frequently with leadership.Cons: 1. Talent is underutilized due to lack of alchemy and processes at the company. 2. Long hours. 3. Team-dependent, but likely to get thrown in the deep end with no onboarding. 4. Business is spiky and asks change frequently.
Scale AI Interview Questions
