Jobs at Labelbox

The role involves designing and maintaining reinforcement learning environments, developing containerized execution environments, managing integrations, and collaborating with data operations for AI training.

As a Forward Deployed Engineer Intern, you will process and analyze data scripts, build automated quality checks, and engage directly with client projects under guidance from a senior engineer.

As an Applied Research Engineer, you'll develop frameworks for autonomous agents, design data programs, and collaborate with AI researchers to advance capabilities and publish results.

The Managing Partner will lead enterprise sales, managing multi-million dollar pipelines and fostering strategic partnerships with AI labs and Fortune 500 clients.

As a Full-Stack Engineer at Labelbox, you will develop and maintain AI tools, focusing on data training systems, intermediate user interfaces, scalable architectures, and work in a collaborative, fast-paced environment.

Design, build, and productionize evaluation and post-training systems for LLMs. Create post-training datasets and improve model performance through innovative training loops.

Lead the design and development of reinforcement learning environments, managing a high-performing team and ensuring technical excellence while collaborating cross-functionally.

As a Forward Deployed Engineer, you will design scalable data pipelines, optimize code for data processing, and collaborate with AI teams to meet their data needs.

As an Applied Research Engineer, you will develop AI systems, design measurement techniques, and enhance human data for machine learning applications.

The Forward Deployed Research Scientist engages directly with AI labs to develop data strategies, fine-tune models, run experiments, and collaborate on publishing research, all in a fast-paced client-focused setting.