The business problem is to leverage C-sharp coding expertise to train and improve large-scale language models for AI, enabling them to democratize education, accelerate research, and streamline software development.
Requirements
- Fluency in C-sharp coding.
- Expertise in algorithms.
- Expertise in data structures.
- Expertise in software architecture.
- Expertise in frontend development.
- Expertise in backend development.
- Expertise in cloud infrastructure and systems programming.
Responsibilities
- Converse with the model on software engineering tasks and technical scenarios using C-sharp.
- Verify logical accuracy and coding fluency of the model.
- Assess code quality and clarity generated by the model.
- Capture reproducible error traces from model interactions.
- Suggest improvements to prompt engineering and evaluation metrics.
- Document failure modes to harden model reasoning.
- Apply expertise in algorithms, data structures, software architecture, frontend and backend development, cloud infrastructure, and systems programming using C-sharp.
Other
- A bachelor's, master's, or PhD in computer science, software engineering, or a closely related technical field is ideal.
- Real-world C-sharp 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.
