Software Engineer (C#) - Internal Tooling
Software Engineer (C#) — Internal Tooling (AI Infrastructure) About The Role What if your C# skills could directly shape the infrastructure powering next-generation AI systems used by millions of people? We're looking for a senior full-stack C# engineer to build and optimize the internal tooling, data pipelines, and evaluation systems that leading AI labs depend on every day. This is a fully remote contract role with flexible hours. You'll work on real production systems — not toy projects — alongside data, research, and engineering teams at the frontier of AI development. 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 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 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 Full-stack developer with a solid systems programming background 3–5+ years of professional experience writing production-grade C# Experienced with interoperability scenarios — invoking Python ML models from .NET, wrapping native libraries, or similar cross-language integrations Skilled at designing robust harnesses for benchmarking and evaluating system performance Able to commit 20–40 hours per week with reliability and consistency
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 or developer tooling Background in research infrastructure or high-throughput data processing
Why Join Us
Work on cutting-edge AI projects alongside leading research labs Fully remote and flexible — work when and where it suits you Freelance autonomy with the structure of meaningful, high-impact engineering work Make a direct, tangible contribution to the infrastructure driving the next generation of AI Potential for ongoing work and contract extension as new projects launch