About the Role
The role involves developing and refining high-quality HTML and CSS assets to support the training of artificial intelligence models, ensuring accuracy, accessibility, and modern coding standards.
Responsibilities
- Create clean, semantic HTML markup for diverse web components
- Write efficient, maintainable CSS following current best practices
- Ensure cross-browser compatibility and responsive design implementation
- Collaborate with AI training teams to define coding standards
- Review and optimize existing code for performance and accessibility
- Follow accessibility guidelines to support inclusive design
- Adapt layouts for various screen sizes and devices
- Troubleshoot and resolve front-end development issues
- Maintain consistency across design and functionality
- Contribute to documentation for training datasets
- Stay current with evolving web standards and techniques
- Validate code against accessibility and usability benchmarks
- Participate in peer reviews of markup and styling
- Support the creation of reusable UI components
- Ensure compliance with semantic web principles
- Work with version control systems for code management
- Assist in defining training data requirements
- Test implementations across multiple platforms
- Improve rendering performance of web elements
- Collaborate on design system enhancements
- Provide feedback on AI-generated code examples
- Maintain high standards for code quality and structure
- Integrate feedback from quality assurance processes
- Support automated testing frameworks for front-end code
- Contribute to style guide development
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid work model with office and remote flexibility
Team
Collaborative team environment focused on AI-driven development projects
About the Project
This role supports a specialized initiative to train artificial intelligence models using high-fidelity web development examples. Developers will create and refine real-world HTML and CSS code to build robust training datasets. The work directly contributes to improving AI understanding of front-end technologies.
Location
This position is based in Portland, Oregon, with a hybrid work schedule allowing both office and remote work. Candidates must be located in or willing to relocate to the Portland area.
Visa sponsorship available for qualified candidates
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