Role Overview
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.
What You Bring
- 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.
Bonus Points
- Familiarity with GraphQL syntax.
- Familiarity with Mintlify.
Our Technology Stack
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
Engineering at Labelbox
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.
