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 systems used by millions of people? 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 sit at the heart of cutting-edge AI development. This is a fully remote, flexible contract role working alongside leading AI labs on real production systems and high-impact engineering challenges. If you're a senior engineer who thrives on performance, scalability, and building things that actually matter — this is the role for you. - 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 resilience 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, and implement scalable, production-ready fixes - Participate in synchronous design reviews to iterate on architecture and implementation decisions Who You Are - Native or fluent English speaker with strong written and verbal communication skills - Full-stack developer with a deep systems programming background - 5+ years of professional experience writing production-grade C - Proven experience building streaming data pipelines using asynchronous streams and reactive programming patterns - Skilled at optimizing I/O-bound operations and implementing resilient retry and fault-tolerance strategies 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 pipelines, or model evaluation systems - Familiarity with AI/ML workflows, model training, or benchmarking infrastructure - Experience with distributed systems architecture or developer tooling Why Join Us - Work on cutting-edge AI projects alongside leading research labs - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure and impact of meaningful, production-level work - Make a direct, tangible contribution to the infrastructure powering next-generation AI - Potential for ongoing work and contract extension as new projects launch
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