Degree in Artificial intelligence- AI
AngularJS, Google Cloud Platform (GCP), Large Language Models - LLMs, Leadership Skill, MySQL, Natural Language Processing (NLP), Node.js, Python Programming, React.js, Redux, REST API, TypeScript
About the Role
Our mission is to build the best products to align with artificial intelligence. As part of the AI alignment perception team, you will play a pivotal role in creating automated, performant, and user-friendly annotation capabilities to capture human feedback (RLHF, computer vision or complex multi-modality tasks). With your strong full stack experience, you'll collaborate closely with product, design, and other engineers to implement flexible components, and scalable and reliable systems. Striking the right balance between innovation and practicality, you'll drive business initiatives while building a strong technological foundation for future needs. As a technical leader, you'll set an example of excellence in software engineering and operations, empowering your team to tackle challenges and deliver top-notch, customer-centric software solutions.
Your Day to Day
About You
Nice to Have
Engineering at Labelbox
We build a comprehensive platform and end-to-end tool suite for AI system development. We believe in providing the best user experience at scale with high quality. Our customers use our platform in production environments, daily, to build and deploy AI systems that have a real positive impact in the world.
We believe in collaborative excellence and shared responsibility with decision making autonomy wherever possible. We strive for a great developer experience with continuous fine tuning. How we work is one of the cornerstones of engineering excellence at Labelbox.
We learn by pushing boundaries, engaging in open debate to come up with creative solutions, then committing to execution. We continuously explore and exploit new technologies, creating new and perfecting existing techniques and solutions. Making customers win is our North Star.
Excel in a Hub-centric Remote Model.
We’re committed to excellence and understand the importance of bringing our talented people together. While we continue to embrace remote work, we’ve transitioned to a Hub-Centric Remote Model with a focus on nurturing collaboration and connection within our dedicated hubs in the San Francisco Bay Area, New York City Metropolitan Area, Miami-Fort Lauderdale Area, and Warsaw, Poland. We encourage asynchronous communication, autonomy, and ownership of your tasks, with the added convenience of hub-based gatherings.
Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice.
Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications. If you are uncertain about the legitimacy of any communication you have received, please do not hesitate to reach out to us at recruiting@labelbox.com for clarification and verification.
Labelbox’s mission is to build the best products to align with artificial intelligence. Real breakthroughs in AI are reliant on the quality of the training data. Labelbox's data engine enables organizations to dramatically improve the quality of their training data, which makes their machine learning models more accurate and performant. We are determined to build software that is more open, easier-to-use.
San Francisco, CA, USA
8-10 year
San Francisco, CA, USA
6-8 year