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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.
About LabelboxWe're 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 Aligner, leveraging subject matter experts for next-generation AI models
- Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling
- High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions.
- Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence.
- Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution.
- Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI.
- Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics.
Fresh grads are encouraged to apply!
Role OverviewAs a Product Engineer on the Alignerr engineering team, you will play a key role in building and maintaining an internet-scale platform that facilitates the hiring and onboarding of specialized experts who train and tutor AI systems. Your work will directly contribute to Labelbox’s AI platform by developing the features and capabilities that enable these AI trainers to provide high-quality human feedback.
Your Impact- Shape the future of AI alignment by building intuitive, scalable interfaces that enable experts in specialized fields to train AI and contribute to the development of powerful LLMs.
- Enhance product capabilities by collaborating with engineers, product managers, and designers to deliver new features, resolve issues, and maintain a high-quality codebase while managing technical debt.
- Solve complex engineering challenges by designing and implementing solutions that improve system performance, scalability, and adaptability in an evolving AI landscape.
- Improve customer experience by working closely with the support team to diagnose and resolve issues, ensuring users have seamless interactions with our platform.
- Ensure system reliability by participating in on-call rotations, proactively monitoring system health, and addressing potential disruptions before they impact users.
- Drive engineering excellence by identifying and implementing process improvements that enhance team efficiency and accelerate product development.
- Contribute to knowledge sharing by documenting technical decisions, writing clear and concise technical guides, and mentoring teammates to strengthen the team’s overall expertise.
- Full-stack expertise with 2+ years of experience building seamless user experiences on the frontend and designing scalable, reliable backend systems.
- Proficiency in modern technologies, including TypeScript, Node.js, and GraphQL, with experience in Python, Kubernetes, and Google Cloud (MySQL, Spanner, GCS, PubSub) to architect efficient and high-performing solutions.
- Frontend development experience (2+ years) with frameworks like React/Redux or Angular, ensuring designs translate into responsive, interactive user interfaces.
- A strong sense of ownership, continuously driving improvements in both the product and team dynamics while pushing for innovative solutions that enhance customer experience.
- An agile mindset, thriving in fast-paced environments where you take initiative, adapt quickly, and devise elegant solutions to complex technical challenges.
- A disciplined approach to software development, with a focus on writing high-quality, test-covered code and delivering on commitments efficiently.
- Experience leveraging AI tools such as Cursor and GitHub Copilot to enhance development productivity.
- Hands-on experience with LLM-backed AI services from providers like OpenAI, Anthropic, and Google, integrating them into product features to unlock new capabilities.
At Labelbox Engineering, we're 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. We've 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 StackOur engineering team works with a modern tech stack designed for scalability, performance, and developer efficiency:
- Frontend: React.js with Redux, TypeScript
- Backend: Node.js, TypeScript, Python, some Java & Kotlin
- APIs: GraphQL
- Cloud & Infrastructure: Google Cloud Platform (GCP), Kubernetes
- Databases: MySQL, Spanner, PostgreSQL
- Queueing / Streaming: Kafka, PubSub
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.
- Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland
- Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility
- Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making
- Growth: Career advancement opportunities directly tied to your impact
- Vision: Be part of building the foundation for humanity's most transformative technology
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.
Labelbox San Francisco, California, USA Office
510 Treat Ave, San Francisco, CA, United States, 94110
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