Labelbox
Full TimeBuild infrastructure and evaluation systems for frontier AI labs training agents at scale. You'll ship full-stack prototypes in TypeScript and Python that become the foundation others build on, work across eval pipelines and fine-tuning systems, and integrate the latest models into production within days. Four-plus years shipping reliable systems, strong architecture judgment, and daily experience with coding agents required. Remote in the US; $250,000–$280,000 base salary.
Written from this posting by Neural Jobs AI. The full description is below.
At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.
We're the only company offering three integrated solutions for frontier AI development:
Labelbox is the RL data factory for advancing frontier agent capabilities. We build the data, evaluations, and infrastructure that frontier labs use to train and judge their agents. We're looking for talented, experienced engineers to join us. The bar is high: engineers who have strong judgment and set technical direction, quickly build prototypes that scale into the reliable systems, and are at the frontier of agent-first engineering practices and innovating to accelerate the speed of the business.
Our engineering team works with a modern tech stack designed for scalability, performance, and developer efficiency:
Labelbox strives to ensure pay parity across the organization and discuss compensation transparently. The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.
We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs.
Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs.
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.
Sign in and we will show how your role, experience, salary and location line up against what this employer asked for.
Check my match
From environments to custom evaluations, we partner with over 90% of leading AI labs in the US and the innovators defining the next frontier of AI.
San Francisco Bay Area
Search by role, company, or anything a posting mentions.