Scale’s mission is to develop reliable AI systems for the world’s most important decisions. We provide the high-quality data and full-stack technologies that power the world’s leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact.
The Scale Generative AI Platform allows customers to build, evaluate, and control advanced AI agents and applications that continuously improve. The Scale Data Engine provides the technology to collect, curate, and annotate high-quality datasets. Through our Scale Labs, we test models with rigorous benchmarks and novel research to ensure breakthroughs translate into systems people can trust.
Scale powers the most advanced LLMs and generative models in the world through RLHF, data generation and model evaluation. We work with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force.
Rating Reviews
Rating is calculated based on
45
reviews and is evolving.
Pros: The collaborative spirit here is fantastic; everyone's eager to help and learn. As a Data Operations Specialist, I've had many chances to pick up new skills in AI and machine learning. The fast pace is exciting for career growth in the tech startup space.
Cons: Sometimes the rapid growth means processes aren't always crystal clear, especially regarding project scope changes. The workload can get intense during peak periods, which occasionally impacts work-life balance for those in the AI operations sector.
Advice to Management: Continue investing in clearer communication channels across different project teams, especially when integrating new AI solutions. Streamlining some internal approval processes could also boost efficiency and help manage employee workload effectively during busy times.
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Pros: Scale AI is an exciting place to work for anyone interested in the AI and machine learning space. The projects are genuinely cutting-edge, and you'll work with some of the smartest people in the industry. There's a strong emphasis on collaboration and learning, and the company culture encourages innovation. The remote work setup in the New York City area is also a big plus for many employees.
Cons: While the work is engaging, the pace can sometimes feel overwhelming, leading to occasional crunch times that impact work-life balance. Management communication could be more consistent across different teams, and clearer long-term career pathing for individual contributors would be beneficial. Some processes feel like they're still evolving, which is typical for a rapidly growing tech startup.
Advice to Management: Continue fostering innovation and team collaboration. Consider clearer communication channels for strategic direction and professional development opportunities to retain top talent.
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Pros: As an AI Operations Analyst, I've gained immense experience in the AI industry at Scale AI. The culture is collaborative, with brilliant, supportive colleagues. I especially value the fantastic work flexibility, which really helps maintain a great work-life balance. It's an innovative and impactful tech startup.
Cons: The rapid growth sometimes leads to slower internal promotion paths and occasional communication gaps between teams. Just minor areas for improvement.
Advice to Management: Continue improving internal communication and transparency around career progression paths, especially for high-performing individual contributors.
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What's the typical starting salary for an AI Engineer at Scale AI, and does it vary much by location like San Francisco?
When I started as an AI Engineer at Scale AI in San Francisco, the initial pay was competitive, around $120k base plus stock options, which felt standard for a mid-sized AI company in the tech industry.
What are the career growth opportunities like at a fast-growing AI company like Scale AI?
As a rapidly scaling tech company in the AI industry, Scale AI offers many paths for advancement; I've seen colleagues move from junior roles to leading teams because the company is constantly evolving and creating new opportunities.
How much PTO does Scale AI offer its employees in San Francisco?
At Scale AI, a tech company in San Francisco, I get a good amount of paid time off. It's standard for the industry, allowing me to balance my work and personal life effectively.
What is the hiring process like for a Data Scientist role at Scale AI?
I went through several technical interviews and a take-home project for the Data Scientist position at Scale AI. The process was thorough, assessing both my coding skills and my understanding of AI/ML concepts relevant to their data solutions in the tech industry.
How would you describe the communication style at Scale AI, a San Francisco-based AI company?
At Scale AI, communication is direct and data-driven, with a focus on clear, concise updates, especially within engineering teams working on large-scale AI projects.
What's the business outlook for Scale AI in the AI industry, especially with their work in enterprise AI?
Scale AI is definitely making waves in enterprise AI, and as a leader in data labeling for AI, their future looks strong. I've seen firsthand how crucial their work is for companies building advanced AI models, so their role in the growing AI industry seems very secure.
What kind of technical skills are most important for a Category Manager role at Scale AI?
For Scale AI's category promotion team, proficiency in data analysis tools like SQL and Python, along with experience in e-commerce platforms and understanding consumer behavior, are key skill requirements I found during my research for this growing tech company.
What's the overall vision for Scale AI's direction in the AI industry, especially for leadership roles?
Scale AI is driving the AI revolution by building data infrastructure for autonomous systems and government, aiming to be the central hub for AI development globally.
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