C# Infrastructure Engineer - Data Pipelines

About the job C# Infrastructure Engineer — Data Pipelines (AI Training) About The Role What if your deep C# expertise could directly shape the infrastructure powering the world's most advanced AI systems? 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 next-generation models. This is a fully remote, flexible contract role for experienced engineers who want meaningful, high-impact work — without the constraints of a full-time position. 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 power 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 production C# codebases Identify bottlenecks and edge cases in data and system behavior — then implement scalable, resilient fixes Collaborate with data, research, and engineering teams to support model training and evaluation pipelines 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 Full-stack developer with a strong systems programming background 5+ years of professional experience writing production-grade C# Proven track record building streaming data pipelines using asynchronous streams and reactive programming patterns Experienced optimizing I/O-bound operations and implementing resilient retry policies for distributed data ingestion Able to commit 20–40 hours per week with reliability and consistency Nice to Have Prior experience with data annotation, data quality systems, or evaluation pipelines Familiarity with AI/ML workflows, model training, or benchmarking infrastructure Background in distributed systems architecture or developer tooling Why Join Us Work on cutting-edge AI projects alongside leading research labs doing work that actually matters Fully remote and flexible — work when and where it suits you Freelance autonomy with the structure of meaningful, ongoing technical work Make a direct, tangible impact on the infrastructure shaping the future of AI Potential for ongoing work and contract extension as new projects launch