Labelbox is the data factory for generative AI, providing the highest quality training data for frontier and task-specific models. Labelbox’s comprehensive platform combines on-demand labeling services powered by the Alignerr community of highly-educated experts, who span all major languages and a diverse range of advanced subjects. They are available on-demand to rapidly generate new data for supervised fine-tuning, RLHF, and more. Labelbox’s software-first approach delivers unmatched control and transparency into the labeling process, leading to the generation of high-quality, consistent data at scale.
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.
About the Role
Join our team of passionate and world-class engineers to help empower our customers to harness the power of AI. As a member of the Alignerr engineering team, you'll be at the forefront of developing an internet-scale platform for hiring and onboarding highly skilled individuals in specialized domains from across the world, to train and tutor AI. You will also develop features and capabilities that these AI trainers will execute on within the Labelbox AI platform.
You'll use your full-stack expertise to collaborate with talented engineers and designers to build elegant, reusable components and construct robust, scalable systems. You'll be a driving force behind our success, balancing groundbreaking innovation with practical implementation to meet the evolving needs of our customers. If you're passionate about pushing technological boundaries and making a real-world impact, this is your opportunity to shine. Join us and help build the future of AI alignment!
This role is based in our dedicated tech hubs in San Francisco, CA and Wrocław, Poland. We use a hybrid work model of 2 days in the office per week.
Your Day to Day
- Empower the future of AI alignment: Develop user-friendly interfaces enabling highly-skilled individuals in specialized fields tutor AI for developing powerful LLMs.
- Be a driving force in a high-impact team: Collaborate with engineers, product managers, and designers to bring features to life, squash bugs, while consistently keeping tech debt in check.
- Crack the code: Tackle complex technical challenges that demand sharp problem-solving skills and a knack for navigating ambiguous territory.
- Be a customer champion: Partner with our support team to address customer questions and provide elegant solutions to their challenges.
- Own your code: Join our support rotation, ensuring our systems run smoothly around the clock.
- Drive impactful change: Take the initiative to propose and implement process improvements, elevating the efficiency and impact of our engineering team.
- Document your wisdom: Share your expertise by authoring and reviewing technical documents, guaranteeing the delivery of robust and well-defined solutions.
About You
- 4+ years of full-stack engineering expertise, with a passion for crafting exceptional user experiences on the frontend and building scalable and reliable systems, ensuring a seamless user journey.
- Proficient in Typescript, Node.js, GraphQL. Comfortable with Python, Kubernetes, and GCP (MySQL, Spanner, GCS, PubSub). You've honed your skills in leveraging these technologies over 2+ years to architect robust and efficient solutions.
- 2+ years of experience in frontend frameworks such as React/Redux, Angular. Adept at translating designs into responsive and interactive user interfaces.
- Strong ownership mentality, fearlessly pushing boundaries to elevate your team and Labelbox's offerings. Your commitment to customer satisfaction drives you to explore innovative solutions.
- A self-starter who thrives in a dynamic and agile environment and takes the initiative to get things done. You excel at devising elegant and streamlined solutions for complex challenges.
- Excel at writing high-quality code with a focus on test coverage and taking a disciplined approach towards timely delivery of commitments.
- High proficiency in leveraging AI for daily development activities, including but not limited to Cursor, GitHub CoPilot, etc.
- Previous experience using LLM backed AI services such as from OpenAI, Anthropic, Google, etc. to develop product features.
Engineering at Labelbox
We build a comprehensive platform and end-to-end tool suite for AI system development. We believe in providing the best user experience at scale with high quality. Our customers use our platform in production environments daily to build and deploy AI systems that have a real positive impact in the world.
We believe in collaborative excellence and shared responsibility with decision making autonomy wherever possible. We strive for a great developer experience with continuous fine tuning. How we work is one of the cornerstones of engineering excellence at Labelbox.
We learn by pushing boundaries, engaging in open debate to come up with creative solutions, then committing to execution. We continuously explore and exploit new technologies, creating new and perfecting existing techniques and solutions. Making customers win is our North Star.
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
$170,000—$225,000 USD
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.
.png)
