via LinkedIn
$104K - 166K a year
Design and build high-performance C# backend systems for AI data pipelines and model evaluation.
5+ years professional C# backend development experience with strong systems programming and API expertise.
Senior Backend Engineer (C#) — AI Data Platform About The Role What if your C# engineering skills could directly shape the infrastructure powering the world's most advanced AI systems? We're looking for a Senior C# Engineer to design and build the data pipelines, annotation tooling, and evaluation infrastructure that leading AI labs depend on to train and improve next-generation models. This is a fully remote, flexible contract role working on real production systems at the frontier of AI development. If you're a seasoned backend engineer who wants meaningful, high-impact work — this is it. • 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 model evaluation workflows • Develop backend services and tooling 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 infrastructure • 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 clear written and verbal communication skills • 5+ years of professional experience building scalable backend services in C# • Strong systems programming background with full-stack development experience • Deep expertise in modern frameworks for RESTful APIs and RPC services • Experienced integrating cloud-native data services and orchestrating workflows via message bus architectures • Able to commit 20–40 hours per week with reliability and consistency Nice to Have • Prior experience with data annotation, data quality pipelines, or model evaluation systems • Familiarity with AI/ML workflows, model training, or benchmarking infrastructure • Background in distributed systems design or developer tooling Why Join Us • Work directly on cutting-edge AI projects alongside the world's leading research labs • Fully remote and flexible — structure your hours around your life • Freelance autonomy with the substance of high-impact, technically challenging work • Contribute to infrastructure that shapes the future of AI at a foundational level • Potential for ongoing engagement and expanded scope as new projects launch
This job posting was last updated on 8/19/2026