Design, build, and optimize high-performance systems in C# supporting AI data pipelines and evaluation workflows
Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control
Improve reliability, performance, and safety across existing C# codebases
Collaborate with data, research, and engineering teams to support model training and evaluation workflows
Identify bottlenecks and edge cases in data and system behavior, and implement scalable fixes
Participate in synchronous reviews to iterate on system design and implementation decisions
Requirements
Must-Have
Native or fluent English speaker
Full-stack developer experience with a strong systems programming background
3-5+ years of professional experience writing production C#.
Expertise in interoperability scenarios, such as invoking Python ML models from .NET or wrapping native libraries.
Experience designing robust harnesses for benchmarking and evaluating system performance.
Clear written and verbal communication skills.
Ability to commit 20–40 hours per week.
Additional Instructions
Design, build, and optimize high-performance systems in C# supporting AI data pipelines and evaluation workflows
Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control
Improve reliability, performance, and safety across existing C# codebases
Collaborate with data, research, and engineering teams to support model training and evaluation workflows
Identify bottlenecks and edge cases in data and system behavior, and implement scalable fixes
Participate in synchronous reviews to iterate on system design and implementation decisions
