Software Engineer (C#) - Internal Tooling
About this role
About the Role What if your C expertise could directly shape the infrastructure powering the next generation of AI? We're looking for experienced full-stack C engineers to build and improve the systems that leading AI labs depend on — from data annotation pipelines to evaluation harnesses and quality control tooling. This is a fully remote contract role with flexible commitment. You'll work on real production systems 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 and resolve bottlenecks and edge cases in data and system behavior with scalable solutions - Participate in synchronous design reviews to iterate on architecture and implementation decisions - Build and maintain robust benchmarking and performance evaluation harnesses Who You Are - 3–5+ years of professional experience writing production-grade C - Strong full-stack developer background with solid systems programming fundamentals - Expertise in interoperability scenarios — such as invoking Python ML models from .NET or wrapping native libraries - Experienced designing robust harnesses for benchmarking and evaluating system performance - Native or fluent English speaker with clear written and verbal communication skills - 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 working with or alongside research teams in a fast-moving environment 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 technical work - Build systems that directly influence how next-generation AI models are trained and evaluated - Potential for ongoing work and contract extension as new projects launch
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