
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 seeking a Forward Deployed Engineer in Robotics to shape the future of AI by building critical infrastructure for AI models. You'll work in a high-impact environment focused on innovation and technical excellence.
Job Description
Who you are
You have a strong background in engineering, particularly in robotics or AI, and are excited about the opportunity to work at the forefront of AI development. You thrive in high-impact environments and are eager to take on expanded responsibilities quickly. Your technical expertise allows you to collaborate effectively with industry leaders, and you are passionate about continuous learning and innovation. You understand the importance of quality control systems and advanced annotation tools in producing high-quality training data at scale. You are a proactive problem solver who enjoys working in a fast-paced, startup-like atmosphere.
Desirable
Experience with data-centric approaches to AI development is a plus, as is familiarity with specialized data labeling services. You may have worked with subject matter experts in the past, leveraging their insights to enhance AI models. A background in software engineering or data science could also be beneficial, as it complements the technical demands of this role.
What you'll do
In this role, you will shape the future of AI by contributing to the development of critical infrastructure that powers breakthrough AI models. You will collaborate with cross-functional teams to design and implement advanced annotation tools and workflow automation systems. Your work will directly impact the quality of training data produced for leading research labs and enterprises. You will take ownership of projects, ensuring that they align with the company's mission to innovate at speed. You will also engage with clients to understand their needs and provide tailored solutions that enhance their AI capabilities. As part of a dynamic team, you will continuously learn and adapt, contributing to the evolution of AI technologies.
What we offer
Labelbox provides a high-impact environment where you can grow your career based on your contributions. You will have the opportunity to work with cutting-edge technologies and collaborate with industry leaders. The company values innovation and rewards those who take ownership and deliver results. You will be part of a culture that encourages continuous growth and learning, surrounded by curious minds solving complex problems at the frontier of AI. While specific salary details are not mentioned, you can expect competitive compensation reflective of your skills and experience.
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