Senior C# Full-Stack Engineer — AI Data & Infrastructure
About this role
About the Role What if your C expertise could directly shape the infrastructure powering the next generation of AI models? We're looking for a Senior C Full-Stack Engineer to build and optimize the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and improve their most advanced models. This is a fully remote contract role with meaningful technical challenges, flexible hours, and the chance to work at the frontier of AI development — without leaving your home office. - 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 safety across production 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 - Experienced full-stack developer with a solid systems programming foundation - 3–5+ years of professional experience writing production C (modern standards preferred) - Deep understanding of performance optimization, concurrency (threading, atomics), and memory safety - Methodical problem-solver who thrives in fast-moving, high-stakes technical environments - Able to commit 20–40 hours per week with reliability and professionalism Nice to Have - Prior experience with data annotation, data quality pipelines, or evaluation systems - Familiarity with AI/ML workflows, model training, or benchmarking infrastructure - Experience with distributed systems or internal developer tooling - Background working alongside research or data science teams Why Join Us - Work directly with leading AI research labs on real production systems — not toy projects - Fully remote and flexible — structure your work around your life - Freelance autonomy with the depth and continuity of meaningful, long-term technical work - Make a direct, tangible impact on the AI systems shaping how the world uses technology - Potential for ongoing work and contract extension as new projects launch
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