Software Engineer (C#) - Internal Tooling
About this role
About the Role What if your C expertise could directly shape the infrastructure powering the world's most advanced AI systems? We're looking for experienced C full-stack engineers to build and optimize the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on. This is a fully remote contract role with meaningful technical scope — real production systems, high-impact workflows, and the kind of engineering problems that actually stretch your skills. - 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, and implement scalable, production-ready fixes - Participate in synchronous design reviews and iterate on system architecture decisions with senior engineers 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 in interoperability scenarios — such as invoking Python ML models from .NET or wrapping native libraries - Skilled at designing robust benchmarking and evaluation harnesses - Able to commit 20–40 hours per week consistently 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 directly with or alongside AI research teams Why Join Us - Work on cutting-edge AI infrastructure alongside leading research labs - Fully remote and flexible — work from wherever you do your best engineering - Freelance autonomy with the structure and consistency of ongoing, meaningful project work - Tackle genuinely hard technical problems with real-world impact on AI systems at scale - Potential for ongoing work and contract extension as new projects launch
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