C# Infrastructure Engineer - Data Pipelines
About this role
About the Role What if your deep 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 high-performance 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, flexible contract role for experienced engineers who want meaningful, high-impact work — without the constraints of a full-time position. - 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 safety across production 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 pipelines - 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 skills - Full-stack developer with a strong systems programming background - 5+ years of professional experience writing production-grade C - Proven track record building streaming data pipelines using asynchronous streams and reactive programming patterns - Experienced optimizing I/O-bound operations and implementing resilient retry policies for distributed data ingestion - Able to commit 20–40 hours per week with reliability and consistency Nice to Have - Prior experience with data annotation, data quality systems, or evaluation pipelines - Familiarity with AI/ML workflows, model training, or benchmarking infrastructure - Background in distributed systems architecture or developer tooling Why Join Us - Work on cutting-edge AI projects alongside leading research labs doing work that actually matters - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, ongoing technical work - Make a direct, tangible impact on the infrastructure shaping the future of AI - Potential for ongoing work and contract extension as new projects launch
Application listings
Choose a source listing and check its country requirements.