Labelbox
Data factory for AI teams
Labelbox provides unified software and expert labeling services to create high-quality training data for AI models. They serve leading AI labs and enterprises building generative AI, robotics, and multimodal systems. It enables faster innovation by powering breakthroughs in AI research and real-world applications.
Technical Program Manager
Owns day-to-day execution of customer data projects, managing throughput, delivery, quality, and project margin while coordinating engineers, researchers, and data-trainer teams through Pod Leads.
Forward Deployed Engineering Manager
Lead and grow the Forward Deployed Engineering team, setting technical craft standards for data pipelines, scoping, and quality evaluation while coaching FDEs and managing staffing across customer projects.
Full-Stack Engineer, AI Data Platform
Build end-to-end features for an AI data platform supporting LLM training, RLHF workflows, and human-in-the-loop evaluation systems. Own frontend (React), backend (Python/Node), APIs, databases, and infrastructure.
Forward Deployed Engineer Intern
Forward Deployed Engineer Intern works on client engagements with AI labs, owning data processing scripts, automated quality checks, and validation. Requires strong Python, hands-on LLM experience, analytical skills, and high ownership in a fast-paced hybrid environment.
Forward Deployed Research Scientist
Forward Deployed Research Scientist collaborates with frontier AI labs on data strategies, fine-tunes open-weight LLMs, runs ablation studies, and validates data impact for client projects. Requires MS/PhD in ML/NLP/CS, hands-on LLM fine-tuning, and fast-paced experimental rigor.
Forward Deployed Engineer, RL Environments
Builds and maintains sandboxed, reproducible RL environments for AI agent training, including terminal, browser, and tool-augmented setups. Requires 2+ years Python/systems engineering, containerization, and RL concepts understanding.
Managing Partner, Frontier AI
Leads enterprise sales for frontier AI solutions, managing $20M+ pipelines, complex multi-project cycles, and strategic partnerships with AI labs and Fortune 500s. Requires 7+ years closing large deals and expertise in AI/ML sales.
Forward Deployed Engineer
Forward Deployed Engineer works directly with AI labs to design human data pipelines, develop Python scripts for data processing, and manage projects for high-quality training data in LLM and reinforcement learning models. Requires Master's in CS/AI-related field, Python proficiency, and LLM project experience.
Applied Research Engineer
Develops advanced systems for human-in-the-loop AI data alignment using RLHF/DPO, improves data quality, and builds AI-assisted labeling tools. Requires Master's/PhD, 3+ years ML experience, Python/PyTorch proficiency, and top-tier publications.
Applied Research Intern
Designs, builds, and productionizes evaluation systems and post-training datasets for frontier LLMs and multimodal models. Prototypes RLHF-style training loops and ships research into product features. Requires Master's/PhD-level AI/ML expertise, Python proficiency, and conference publications.
Applied Research Engineer, Agents
Develops frameworks, data pipelines, and benchmarks for autonomous AI agents using SFT and RL. Collaborates with frontier AI labs, publishes research, and requires Master's/PhD plus 3+ years ML experience with deep learning proficiency.