Jobs at Scale AI

389,072 open positions

Scale AI was founded in 2016 in San Francisco and has become a leader in high‑quality data annotation for AI systems. The company powers self‑driving, natural language, and computer‑vision projects for clients such as Tesla, Google, and Bloomberg, turning raw data into labeled datasets that train machine‑learning models.

Scale AI hires across the tech stack: software engineers, data scientists, machine‑learning researchers, data labeling specialists, product managers, and infrastructure operations staff. Candidates can expect a mix of on‑site and remote roles, a flat hierarchy that encourages cross‑functional collaboration, and a focus on projects that have a direct impact on autonomous technology and AI research.

By reviewing Scale AI listings on Job Transparency, you gain immediate access to published salary ranges, employee sentiment scores, and the number of open positions in each city. This transparency lets you benchmark offers, negotiate with confidence, and assess whether each role aligns with your career goals before you apply.

No open positions at Scale AI right now.

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Frequently Asked Questions

What is it like to work at Scale AI?
Scale AI culture prioritizes impact, diversity, and continuous learning. Employees enjoy flexible remote options, a collaborative environment with frequent cross‑team projects, and competitive compensation that includes equity and bonuses tied to product milestones.
What types of positions are available at Scale AI?
Open roles cover software engineering (frontend, backend, infrastructure), data science, machine‑learning research, data labeling, product management, legal, HR, finance, and customer success. The company also hires for data annotation and annotation‑tool engineering.
How can I stand out as an applicant?
Tailor your resume to highlight relevant AI or data‑labeling projects, quantify impact (e.g., improved model accuracy by X%), showcase open‑source contributions or Kaggle rankings, and prepare specific examples of cross‑functional collaboration. Reach out to current employees on LinkedIn for informational chats and ask insightful questions about the role during the interview.

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