Large-scale language models are evolving from clever chatbots into powerful engines of scientific discovery and need high-quality training data to democratize world-class education, keep pace with cutting-edge research, and streamline software development for engineers everywhere at the company
Requirements
- Python coding expertise
- algorithms
- data structures
- software architecture
- frontend and backend development
- cloud infrastructure
- systems programming
- asynchronous programming
Responsibilities
- converse with the model on software engineering tasks and technical scenarios using Python
- verify logical accuracy and coding fluency
- assess code quality and clarity
- capture reproducible error traces
- suggest improvements to our 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 so we can 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 Python experience, technical writing, or open-source contributions signal fit
- Clear, metacognitive communication—showing your work—is essential
- supply a secure computer and high-speed internet
- company-sponsored benefits such as health insurance and PTO do not apply
