Large-scale language models are evolving into powerful engines of scientific discovery, and high-quality training data is needed to democratize education, keep pace with research, and streamline software development. The company needs expertise to help power the next generation of AI by training these models.
Requirements
- HTML coding expertise
- Fluency in algorithms
- Fluency in data structures
- Fluency in software architecture
- Fluency in frontend development
- Fluency in backend development
- Fluency in cloud infrastructure
Responsibilities
- Converse with the model on software engineering tasks and technical scenarios using HTML
- Verify logical accuracy and coding fluency
- Assess code quality and clarity
- Capture reproducible error traces
- Suggest improvements to prompt engineering and evaluation metrics
- Challenge advanced language models on topics like asynchronous programming, RESTful API integration, memory management, object-oriented design, secure coding practices, and debugging distributed systems
- Document every failure mode to harden model reasoning
Other
- A bachelor's, master's, or PhD in computer science, software engineering, or a closely related technical field is ideal
- Real-world HTML experience, technical writing, or open-source contributions signal fit
- Clear, metacognitive communication—"showing your work"—is essential
- As a contractor you'll supply a secure computer and high-speed internet
- Company-sponsored benefits such as health insurance and PTO do not apply
