C# Infrastructure Engineer - Data Pipelines

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: AlignerrType: Hourly ContractLocation: RemoteCommitment: 20–40 hours/week What You'll Do Design, build, and optimize high-performance C systems supporting AI data pipelines and model evaluation workflowsDevelop full-stack tooling and backend services for large-scale data annotation, validation, and quality controlImprove reliability, performance, and safety across existing C codebasesIdentify bottlenecks and edge cases in data and system behavior, then implement scalable, resilient fixesCollaborate with data, research, and engineering teams to support model training and evaluation workflowsParticipate in synchronous design reviews to iterate on architecture and implementation decisions Who You Are Native or fluent English speaker with clear written and verbal communicationFull-stack developer with a strong systems programming background5+ years of professional experience writing production-grade CDeep experience building streaming data pipelines using asynchronous streams and reactive programming conceptsSkilled at optimizing I/O-bound operations and implementing resilient retry policies for distributed data ingestionAble to commit 20–40 hours per week with reliable availability Nice to Have Prior experience with data annotation, data quality, or AI evaluation systemsFamiliarity with AI/ML workflows, model training, or benchmarking pipelinesExperience with distributed systems architecture or developer tooling Why Join Us Work directly on production systems used by leading AI research labsFully remote and flexible — structure your hours around your lifeFreelance autonomy with the depth and consistency of real, ongoing engineering workMake a tangible impact on the infrastructure shaping the future of AIPotential for ongoing work and contract extension as projects scale