C# Infrastructure Engineer — AI Data Pipelines About The Role What if your C# engineering skills could directly shape the infrastructure powering the world's most advanced AI systems? We're looking for a senior C# engineer to design and build the high-performance data pipelines, annotation tooling, and evaluation infrastructure that leading AI labs depend on to train and improve next-generation models. This is a fully remote, flexible contract role for an experienced engineer who wants meaningful, high-impact work — without the overhead of a full-time commitment. 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 model 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 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 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 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 with reliable availability

Nice to Have

Prior experience with data annotation, data quality, or AI 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 on production systems used by leading AI research labs Fully remote and flexible — structure your hours around your life Freelance autonomy with the depth and consistency of real, ongoing engineering work Make a tangible impact on the infrastructure shaping the future of AI Potential for ongoing work and contract extension as projects scale