C# Infrastructure Engineer - Data Pipelines
About this role
About the Role What if your C skills could directly shape the infrastructure behind the most advanced AI systems in the world? 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 their models. This is fully remote contract work on real production systems — not toy projects. You'll be embedded in workflows that matter, collaborating with 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 powering 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 fixes - 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 - Deep experience building streaming data pipelines using asynchronous streams and reactive programming patterns - Proven ability to optimize I/O-bound operations and implement resilient retry policies for distributed data ingestion - Able to commit 20–40 hours per week with consistency 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 or developer tooling Why Join Us - Work directly on cutting-edge AI systems alongside leading research labs - Fully remote and flexible — work from wherever you do your best work - Meaningful, high-impact engineering — not maintenance work - Freelance autonomy with the structure of real, production-scale projects - Potential for ongoing work and contract extension as new projects launch
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