Alignerr is seeking experienced full-stack C# engineers to shape the infrastructure powering the next generation of AI. In this role, you will design, build, and optimize high-performance C# systems that support AI data pipelines and evaluation workflows, collaborating closely with data, research, and engineering teams.
Responsibilities:
- Design, build, and optimize high-performance C# systems 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 and resolve bottlenecks and edge cases in data and system behavior with scalable solutions
- Participate in synchronous design reviews to iterate on architecture and implementation decisions
- Build and maintain robust benchmarking and performance evaluation harnesses
Requirements:
- 3–5+ years of professional experience writing production-grade C#
- Strong full-stack developer background with solid systems programming fundamentals
- Expertise in interoperability scenarios — such as invoking Python ML models from .NET or wrapping native libraries
- Experienced designing robust harnesses for benchmarking and evaluating system performance
- Native or fluent English speaker with clear written and verbal communication skills
- Able to commit 20–40 hours per week with reliability and consistency
- Prior experience with data annotation, data quality, or evaluation systems
- Familiarity with AI/ML workflows, model training, or benchmarking pipelines
- Experience with distributed systems or developer tooling
- Background working with or alongside research teams in a fast-moving environment