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 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
- 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.
Labelbox is seeking a Technical Writer who will play a critical role in shaping how our customers and teams understand and interact with our platform. This position is ideal for someone passionate about creating robust, customer-facing documentation that communicates complex concepts clearly and empowers users ranging from AI novices to expert data scientists and machine learning engineers.
Your Impact- Maintain the clarity and accuracy of docs.labelbox.com as our platform evolves and scales.
- Own the content creation process, including writing, editing, and reviewing documentation to maintain high standards of accuracy and quality.
- Own the organization and discoverability of all customer-facing documentation, ensuring users can easily find the information they need.
- Stay closely aligned with the product engineering roadmap to manage documentation drafts, reviews, and timely publishing for new features and changes.
- Publish comprehensive release notes after every month to keep customers informed on updates.
- Collaborate with the Product Operations Manager to document and communicate upcoming deprecations and feature changes to customers.
- Develop clean, instructional guides and contextual explanations so users can confidently set up their Labelbox workflows and understand the value, function, and fit of individual features.
- Create clear diagrams and visual aids illustrating common workflows and use cases within the Labelbox platform.
- Ensure Labelbox API references are accurate, up to date, and easy to understand.
- Support the documentation needs of Product Engineering & Support teams by managing & prioritizing the flow of internal requests for content updates and improvements.
- Work continuously with the Support team to ensure internal teams have the information they need to help customers efficiently.
- Own all systems and standards for maintaining documentation quality and accessibility.
- A minimum of 3-5 years of experience in technical writing, product documentation, or a related field.
- Excellent written and verbal communication skills, with a keen eye for detail and the ability to clearly articulate complex concepts.
- Portfolio showcasing clear, effective technical documentation.
- Proven ability to gather technical details from busy or technical stakeholders (Product Managers, Engineers) and translate them into intuitive guides.
- Demonstrated best practices for writing accessible, structured, and easy-to-follow documentation.
- Familiarity with documentation tools, version control systems, and content management platforms.
- Experience working with:
- JSON syntax
- Python code documentation
- Google Collab notebooks
- Markdown or reStructuredText
- Git and GitHub workflows
- Persistent, curious mindset—unafraid to ask questions and dig deeply until you fully understand a concept.
- Excellent organizational and communication skills for managing multiple requests and priorities.
- Bachelor's degree in Technical Communication, English, Computer Science, or a related field is preferred.
- Familiarity with GraphQL syntax.
- Familiarity with Mintlify.
Our 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
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.
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.
