"labels" Jobs
89 open tech roles matching “labels”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, AI/ML, SQL. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 89 results
Join Labelbox as a Staff ML Engineer to shape AI training environments and systems in a high-impact, fast-paced setting.
Join Labelbox as a Staff Software Engineer to shape the future of AI with cutting-edge data platforms and tools.
Lead the successful delivery of complex customer programs in a high-impact AI environment at Labelbox.
Lead and grow the Forward Deployed Engineering team at Labelbox, focusing on technical quality and customer needs in AI development.
Join Labelbox as a Cyber Security Intern to strengthen and scale our enterprise security program while gaining hands-on experience.
Join Judgment Labs as a Senior Backend Engineer to build infrastructure for AI agents in a fast-paced, onsite environment in San Francisco.
Join Anthropic as a Staff+ Software Engineer to build and maintain the RL Data Platform for reliable AI systems.
Lead ML Data Operations at Suno, building and managing data sourcing for AI music models in a fast-paced, creative environment.
Build and operate production ML systems for Pegasus, focusing on reliability and performance in a hybrid work environment.
Build eval systems and quality metrics for a personalized AI assistant at a startup in San Francisco.
Join Anthropic as a Staff+ Research Engineer to build and maintain the RL Data Platform for reliable AI systems.
Join Doss as a Fullstack Engineer to build an AI-native platform for physical product businesses in a collaborative San Francisco team.
Drive research on Pegasus's complex problems in a hybrid role at a growing AI company focused on video understanding.
Lead the material management function at Neuralink, ensuring efficient logistics and inventory operations for manufacturing.
Join Discord as a Senior Machine Learning Engineer to build and deploy models that enhance user safety on the platform.
Drive technical direction for training infrastructure and operations within Pegasus at a growing AI company focused on video understanding.