Posted Oct 26, 2026

Senior C# Full-Stack Engineer — AI Data & Infrastructure

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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