Transforming data labeling for machine learning success
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...
Labelbox offers a flexible vacation policy without counting PTO days, a 401k program, and a health savings account (HSA). Employees enjoy daily lunche...
Labelbox promotes a culture of innovation and ethical responsibility in AI, focusing on addressing bias in data labeling. The company emphasizes produ...
Labelbox • San Francisco Bay Area
Labelbox is hiring a Data Operations Engineer to build critical infrastructure for AI models. You'll work in a high-impact environment focused on data-centric approaches. This role requires experience in data operations and a passion for AI development.
You have a strong background in data operations, ideally with experience in building and maintaining data pipelines that support AI model development. You understand the importance of data quality and have a keen eye for detail, ensuring that the data used in AI models is accurate and reliable. You thrive in fast-paced environments and are comfortable taking ownership of your projects, driving them from conception to execution. You are a continuous learner, eager to stay updated with the latest trends and technologies in AI and data management. You enjoy collaborating with cross-functional teams, including engineers and data scientists, to deliver impactful solutions. You are motivated by the opportunity to shape the future of AI and contribute to innovative projects that push the boundaries of technology.
Experience with cloud platforms such as AWS or GCP would be a plus, as well as familiarity with data annotation tools and workflows. Knowledge of machine learning concepts and practices can enhance your contributions to the team. If you have a background in software engineering or data engineering, that would be beneficial as well.
In this role, you will be responsible for shaping the data infrastructure that supports AI model development at Labelbox. You will work closely with engineering teams to design and implement data pipelines that ensure high-quality training data is available for AI models. You will also collaborate with data scientists to understand their data needs and provide the necessary support to facilitate their work. Your role will involve monitoring data quality and implementing processes to improve data accuracy and reliability. You will take ownership of data operations projects, ensuring they align with the company's goals and contribute to the overall success of AI initiatives. You will have the opportunity to innovate and propose new solutions that enhance data workflows and improve efficiency.
At Labelbox, you will be part of a high-impact environment that values innovation and speed. You will have the opportunity to work with cutting-edge technologies and collaborate with industry leaders in AI development. We offer a culture that encourages continuous growth and learning, allowing you to expand your skills and advance your career. You will be recognized for your contributions and have clear ownership of your projects, making a tangible impact on the future of AI. Join us in shaping the future of AI and be part of a team that is dedicated to excellence and innovation.
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