C# Infrastructure Engineer - Data Pipelines
Data & Analytics / Software & Coding
$50-$75/hr
About this role · Coding
About the Role What if your deep C expertise could directly shape the infrastructure powering the next generation of AI? 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 their models. This is a fully remote, flexible contract role for an experienced engineer who thrives on solving hard systems problems at scale — and wants their work to matter. - 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 support 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 - Identify bottlenecks and edge cases in data and system behavior — then implement scalable, production-ready fixes - Collaborate with data, research, and engineering teams to support model training and evaluation workflows - 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 - Experienced full-stack developer with a strong systems programming foundation - 5+ years of professional experience writing production-grade C - Proven track record building streaming data pipelines using asynchronous streams and reactive programming concepts - Deep experience 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 consistently 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 on real, high-impact AI infrastructure projects alongside leading research labs - Fully remote and flexible — structure your hours around your life - Freelance autonomy with the substance and scope of meaningful engineering work - Make a direct, tangible contribution to systems that shape how next-generation AI is built - Potential for ongoing work and contract extension as projects scale and new initiatives launch