C# Infrastructure Engineer - Data Pipelines
C# Infrastructure Engineer — AI Data Pipelines About The Role What if your C# skills could directly shape the infrastructure powering next-generation AI? We're looking for a Senior C# Full-Stack Engineer to build and optimize the 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 wants meaningful, high-impact work — not just maintenance tickets. You'll work on real production systems alongside data, research, and engineering teams 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 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 — then implement scalable, production-ready fixes Participate in synchronous design 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 Self-directed and reliable — able to commit 20–40 hours per week and deliver without hand-holding
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 architecture or developer tooling
Why Join Us
Work directly with leading AI research labs on real, high-impact production systems Fully remote and async-friendly — work from wherever you do your best work Freelance autonomy with the substance of meaningful, senior-level engineering work Be at the frontier of AI infrastructure — the kind of work that actually matters Potential for ongoing contracts and expanded scope as projects grow