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.

Senior Frontend Engineer

Company: Spot AI

Location: Remote

Posted May 06, 2023

None Found

Senior Technical Recruiter

Company: Scale AI

Location: San Francisco, CA

Posted May 09, 2023

Scale is looking for a Senior Technical Recruiter to help accelerate the development of AI. The role involves building relationships with stakeholders, leveraging recruiting metrics, and collaborating with hiring teams. The base salary range is $123,000-$158,000, with additional compensation through equity and benefits.

Conversion Rate Optimization Specialist, LATAM

Company: Spot AI

Location: Remote

Posted May 07, 2023

Spot AI is a fast-growing video intelligence company disrupting the video security market with an AI camera system. They are deployed at thousands of locations across various industries and have recently raised $40M in Series B financing. The company values customer-first approach, ownership of outcomes, teamwork, and diversity.

Software Engineer - AI/ML

Company: Snorkel AI

Location: Peninsula

Posted May 06, 2023

None Found

Product Marketing Manager

Company: Vectra AI

Location: Remote

Posted May 06, 2023

None Found

Customer Success Onboarding Specialist

Company: Suki Ai

Location: Remote

Posted May 06, 2023

Suki is creating a new category in the health-tech space: the digital assistant. Our product will be the voice user interface for healthcare. We are a user-driven company committed to making sure every pixel of our product is in service of the doctor. We are a team of technologists, clinicians, and industry experts working together to push the limits on technology used in medicine. We are confident enough to move fast and talented enough not to break things. As a member of the Customer Success team, your primary role is to drive the successful training and adoption of Suki within our clients.

AI Training for Ukrainian Writers

Company: Scale AI

Location: Remote

Posted May 06, 2023

None Found

Staff Software Engineer - AI/ML

Company: Snorkel AI

Location: Peninsula

Posted May 07, 2023

None Found

Staff Software Engineer — Full Stack

Company: Snorkel AI

Location: Peninsula

Posted May 07, 2023

None Found

BI Data Engineer

Company: Gradient AI

Location: Boston, MA

Posted May 09, 2023

None Found

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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