Jobs at Scale AI

Positions 389,619

Scale AI builds high‑quality training data that powers autonomous vehicles, language models, and robotics. Since its 2016 founding, the company has partnered with Tesla, Waymo, and other AI leaders to label images, video, and text that feed machine‑learning systems. Its reputation for precision and rapid iteration makes it a go‑to provider for companies that need reliable AI datasets at scale.

Scale AI hires across the full stack. Software engineers design annotation pipelines and data‑quality tools; ML researchers develop active‑learning algorithms; product managers shape the user experience for data scientists; and operations specialists ensure compliance and security for multi‑region deployments. Most roles offer flexible remote work, competitive equity packages, and a culture that rewards experimentation and impact.

Job Transparency aggregates Scale AI’s salary ranges and employee sentiment metrics, so applicants can compare offers, assess equity potential, and understand how peers rate work‑life balance. Having that data up front turns guesswork into informed decisions and gives candidates a clear edge when negotiating.

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Frequently Asked Questions

What is it like to work at Scale AI?
<p>Scale AI fosters a fast‑paced environment where data quality meets innovation. Teams collaborate across engineering, product, and research to solve real‑world problems; the company emphasizes clear communication, continuous learning, and ownership of outcomes. Remote work is standard, but on‑site teams meet weekly to share progress. Employees often cite the company’s mission‑driven focus and the opportunity to work on cutting‑edge AI systems as major motivators.</p>
What types of positions are available at Scale AI?
<p>Positions span engineering (backend, frontend, ML infrastructure), research (computer vision, NLP), product and design, data annotation and operations, as well as sales, legal, and HR. Technical roles usually require strong programming skills, algorithmic thinking, or data‑labeling expertise, while non‑technical roles focus on strategy, customer success, and compliance.</p>
How can I stand out as an applicant for Scale AI?
<p>Stand out by aligning your portfolio with Scale AI’s core challenges. Highlight projects that involved large‑scale data pipelines, active‑learning, or annotation tooling. Tailor your resume to showcase measurable impact—e.g., “Reduced labeling time by 30% through automated preprocessing.” Demonstrate familiarity with the company’s products and express enthusiasm for building AI that drives safety and efficiency. Finally, engage with the community by sharing relevant research or contributing to open‑source projects that align with Scale AI’s mission.</p>

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