Software Engineer (C#) - Internal Tooling
About this role
About the Role What if your C skills could directly shape the systems powering some of the most advanced AI models in the world? We're looking for a Senior C Full-Stack Engineer to build and optimize the data pipelines, annotation tooling, and evaluation infrastructure 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 pushing 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 large-scale AI data pipelines and evaluation workflows - Develop full-stack tooling and backend services for data annotation, validation, and quality control - Improve reliability, performance, and safety across production C codebases - Collaborate with data, research, and engineering teams to support model training and evaluation - Identify and resolve bottlenecks and edge cases in data and system behavior with scalable, well-reasoned solutions - 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 - Full-stack developer with a strong systems programming background - 3–5+ years of professional experience writing production-grade C - Experienced with interoperability scenarios — such as invoking Python ML models from .NET or wrapping native libraries - Proven ability to design robust benchmarking and evaluation harnesses - Able to commit 20–40 hours per week reliably 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 Why Join Us - Work on cutting-edge AI infrastructure alongside leading research labs - Fully remote and async-friendly — work from anywhere, on a schedule that suits you - Freelance autonomy with the substance of high-impact, production-level engineering 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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