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 next-generation AI? We're looking for a Senior C Full-Stack Engineer to build and optimize the systems that leading AI labs depend on — from data pipelines and annotation tooling to evaluation infrastructure that influences how frontier models are trained and assessed. This is a fully remote contract role with meaningful technical challenges, real production impact, and the flexibility to work on your own terms. - 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 large-scale AI data pipelines and evaluation workflows - Develop full-stack tooling and backend services for data annotation, validation, and quality control at scale - 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, 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 code, with command of modern standards - Deep understanding of performance optimization, concurrency (threading, atomics), and memory safety (RAII, smart pointers, sanitizers) - Able to commit 20–40 hours per week with reliability and consistency - Self-directed and comfortable working in fast-moving, async-first environments Nice to Have - Prior experience with data annotation pipelines, data quality systems, or evaluation infrastructure - Familiarity with AI/ML workflows, model training loops, or benchmarking pipelines - Experience building distributed systems or developer tooling at scale Why Join Us - Work directly with leading AI labs on systems that influence how frontier models are built - Tackle genuinely hard engineering problems — not maintenance tickets - Fully remote and flexible — structure your week around your best work - Freelance autonomy with the substance of high-impact engineering work - Potential for ongoing contracts and expanded scope as projects grow
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