C# Infrastructure Engineer - Data Pipelines
C# Infrastructure Engineer — Data Pipelines (AI Training) About The Role What if your 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 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 contract role working on real production systems — high-impact, technically challenging, and at the frontier of AI development. 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 resilience across existing C# codebases Identify bottlenecks and edge cases in data and system behavior, and implement scalable fixes Collaborate with data, research, and engineering teams to support model training and evaluation workflows Participate in synchronous design and code reviews to iterate on system 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# Deep experience building streaming data pipelines using asynchronous streams and reactive programming concepts Skilled at optimizing I/O-bound operations and implementing resilient retry policies for distributed data ingestion Able to commit 20–40 hours per week consistently
Nice to Have
Prior experience with data annotation, data quality, or evaluation systems Familiarity with AI/ML workflows, model training, or benchmarking pipelines Experience with distributed systems, developer tooling, or infrastructure engineering
Why Join Us
Work directly with leading AI labs on production systems that matter Fully remote and flexible — work from wherever you do your best engineering Freelance autonomy with the structure of meaningful, technically demanding projects Contribute to cutting-edge AI infrastructure at a moment when it counts Potential for ongoing work and contract extension as new projects launch