
About Labelbox
Transforming data labeling for machine learning success
Key Highlights
- Raised $188.9 million in Series C funding
- Headquartered in Mission District, San Francisco, CA
- Offers automated labeling to enhance productivity
- Focus on ethical data labeling and bias reduction
Labelbox is a leading data training platform for machine learning applications, providing a web service and API that streamlines the annotation and labeling process for companies. Founded in 2018 and headquartered in the Mission District of San Francisco, Labelbox has raised $188.9 million in fundin...
🎁 Benefits
Labelbox offers a flexible vacation policy without counting PTO days, a 401k program, and a health savings account (HSA). Employees enjoy daily lunche...
🌟 Culture
Labelbox promotes a culture of innovation and ethical responsibility in AI, focusing on addressing bias in data labeling. The company emphasizes produ...
Overview
Labelbox is hiring an Applied Research Intern to shape the future of AI by working on data-centric approaches essential for AI development. This role is ideal for those looking to gain hands-on experience in a high-impact environment.
Job Description
Who you are
You are an aspiring researcher with a keen interest in artificial intelligence and its applications. You thrive in high-impact environments and are eager to take on expanded responsibilities quickly. Your curiosity drives you to continuously learn and evolve, and you are excited about solving complex problems at the frontier of AI.
You possess a foundational understanding of AI concepts and are eager to apply your knowledge in a practical setting. You are comfortable collaborating with diverse teams and are motivated by the opportunity to contribute to innovative projects that shape the future of technology.
What you'll do
As an Applied Research Intern at Labelbox, you will work closely with industry leaders to develop and refine data-centric approaches that are fundamental to AI development. You will assist in building the critical infrastructure that powers breakthrough AI models, contributing to projects that have a significant impact on research labs and enterprises.
You will have the opportunity to engage in hands-on research, collaborating with cross-functional teams to explore new methodologies and technologies. Your contributions will help drive the development of advanced annotation tools and quality control systems that enable teams to produce high-quality training data at scale.
What we offer
At Labelbox, you will be part of a dynamic team that operates like an early-stage startup, where your contributions directly influence the company's growth and success. You will be surrounded by curious minds and have access to continuous learning opportunities, allowing you to grow both personally and professionally. We celebrate innovation and ownership, rewarding those who take initiative and deliver impactful results.
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