C# Infrastructure Engineer - Data Pipelines

C# Infrastructure Engineer — Data Pipelines (AI Training) About the Role What if your deep C# expertise could directly shape the infrastructure powering the next generation of AI? We're looking for a Senior C# Full-Stack Engineer to design and build the high-performance data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and improve their models. This is a fully remote, flexible contract role for an experienced engineer who thrives on solving hard systems problems at scale — and wants their work to matter. Organization : Alignerr Type : Hourly Contract Location : Remote Commitment : 20–40 hours/week What You'll Do Design, build, and optimize high-performance C# systems that support 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 resilience across existing C# codebases Identify bottlenecks and edge cases in data and system behavior — then implement scalable, production-ready fixes Collaborate with data, research, and engineering teams to support model training and evaluation workflows Participate in synchronous design reviews to iterate on architecture and implementation decisions Who You Are Native or fluent English speaker with clear written and verbal communication skills Experienced full-stack developer with a strong systems programming foundation 5+ years of professional experience writing production-grade C# Proven track record building streaming data pipelines using asynchronous streams and reactive programming concepts Deep experience optimizing I/O-bound operations and implementing resilient retry policies for distributed data ingestion Self-directed and reliable — able to commit 20–40 hours per week and deliver consistently Nice to Have Prior experience with data annotation, data quality, or evaluation systems Familiarity with AI/ML workflows, model training, or bench