C# Infrastructure Engineer - Data Pipelines
About this role
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
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