About Scale AI
Scale AI is a technology company that specializes in data annotation and data labeling services. The company's mission is to make AI more accessible to everyone by providing high-quality training data for machine learning algorithms. Scale AI was founded in 2016 by Alexandr Wang and Lucy Guo, who saw a need in the market for a more efficient and accurate way to annotate data for AI applications.
The company has since grown rapidly, attracting investors such as Coatue Management, Founders Fund, and Index Ventures. Today, Scale AI is one of the leading providers of data annotation services, working with companies across a variety of industries, including self-driving cars, robotics, and natural language processing.
Roles and Types
Scale AI offers a range of roles for those interested in working in the data annotation and machine learning fields. Some of the most common roles include data annotator, project manager, machine learning engineer, and software engineer. These roles require a combination of technical skills and strong attention to detail.
Scale AI also offers different types of projects for its clients, including image annotation, video annotation, and natural language processing. Each project requires a different set of skills and tools, and the company provides training and support to its employees to ensure that they are equipped to handle each project with confidence and accuracy.
Is Scale AI Hiring Now?
Yes, Scale AI is currently hiring for a variety of roles. The company has a career page on its website where interested candidates can browse open positions and apply directly. Some of the current openings include data annotator, machine learning engineer, and software engineer.
Scale AI is committed to building a diverse and inclusive workforce and encourages candidates of all backgrounds to apply. The company offers competitive salaries, benefits, and opportunities for growth and development.
Is It Hard to Get a Job at Scale AI?
Like any competitive company, getting a job at Scale AI can be challenging. The company values technical expertise, attention to detail, and a strong work ethic. However, the company also recognizes the value of diversity and encourages candidates of all backgrounds to apply.
Scale AI offers a rigorous hiring process that includes multiple rounds of interviews and assessments. The company looks for candidates who are passionate about AI and have a strong track record of success in their field.
What Is the Hiring Process at Scale AI?
The hiring process at Scale AI typically begins with an initial phone screen with a recruiter. This is followed by a technical assessment, which may include a coding challenge or a project-based assignment. Candidates who pass the technical assessment are then invited to a series of onsite interviews with members of the hiring team.
The onsite interviews typically include a mix of technical and cultural assessments. Candidates may be asked to solve coding problems, discuss their experience working on similar projects, or provide examples of their leadership skills. The company values candidates who can demonstrate a strong work ethic, attention to detail, and a passion for AI.
How Many Employees Does Scale AI Have?
As of 2021, Scale AI has over 500 employees across its offices in San Francisco, New York, and Ukraine. The company has experienced rapid growth in recent years, thanks in part to its successful fundraising efforts and strategic partnerships with leading companies in the AI industry.
Despite its size, Scale AI prides itself on maintaining a startup culture that values innovation, collaboration, and creativity. The company encourages its employees to take risks and experiment with new ideas, which has helped it stay at the forefront of the rapidly-evolving AI industry.
Where Are Scale AI Headquarters?
Scale AI is headquartered in San Francisco, California. The company also has offices in New York City and Kyiv, Ukraine. These locations allow the company to tap into talent pools across the globe and provide services to clients around the world.
The San Francisco office is the company's largest, serving as the hub for its engineering, product, and business operations. The New York office primarily focuses on sales and customer support, while the Kyiv office provides additional engineering and data annotation capabilities.