Senior Backend Engineer, AI Data Platform

Shape the Future of AI

At Labelbox were building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018 weve been pioneering data-centric approaches that are fundamental to AI development and our work becomes even more essential as AI capabilities expand exponentially.

About Labelbox

Were the only company offering three integrated solutions for frontier AI development :

• Enterprise Platform & Tools : Advanced annotation tools workflow automation and quality control systems that enable teams to produce high-quality training data at scale
• Frontier Data Labeling Service : Specialized data labeling through Alignerr leveraging subject matter experts for next-generation AI models
• Expert Marketplace : Connecting AI teams with highly skilled annotators and domain experts for flexible scaling

Why Join Us

Role Overview

As a Backend Engineer AI Data Platform at Labelbox you will lead the design and development of our core data infrastructure powering the seamless flow storage and processing of data for our AI platform. Your expertise will drive the evolution of scalable systemsanchored by high-performance databasesto support large-scale workflows high-throughput data I / O and streaming capabilities. Youll enable Labelbox customers to efficiently manage and stream data for training next-generation AI models. Owning critical components of our data infrastructure including database architecture youll work end-to-end on projects from design to deployment. Collaborating cross-functionally with stakeholders youll transform ideas into robust scalable solutions that enhance platform adoption and customer success.

Your Impact

What You Bring

Nice to Have

Engineering at Labelbox

At Labelbox Engineering were building a comprehensive platform that powers the future of AI development. Our team combines deep technical expertise with a passion for innovation working at the intersection of AI infrastructure data systems and user experience. We believe in pushing technical boundaries while maintaining high standards of code quality and system reliability. Our engineering culture emphasizes autonomous decision-making rapid iteration and collaborative problem-solving. Weve cultivated an environment where engineers can take ownership of significant challenges experiment with cutting-edge technologies and see their solutions directly impact how leading AI labs and enterprises build the next generation of AI systems.

Our Technology Stack

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.

Annual base salary range

$160000 - $260000 USD

Life at Labelbox

Our Vision

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 Labelboxs Job Applicant Privacy notice.

Any emails from Labelbox team members will originate from a @ email address. If you encounter anything that raises suspicions during your interactions we encourage you to exercise caution and suspend or discontinue communications.

Required Experience :

Senior IC

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type : Full Time

Experience : years

Vacancy : 1

Monthly Salary Salary : 160000 - 260000