Alignerr
Software Engineer (C#) - Internal Tooling
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Software Engineer (C#) - Internal Tooling
Software Engineer (C#) — Internal Tooling (AI Infrastructure)
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 optimize the data pipelines, annotation systems, and evaluation tooling that leading AI labs depend on every day.
This isn't maintenance work or low-stakes ticket-churning. You'll be working on real production systems at the frontier of AI development — the kind of infrastructure that determines how AI models are trained, measured, and improved.
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 at scale
- Improve the reliability, performance, and safety of existing C# codebases used in production AI environments
- Bridge the gap between .NET and Python ML ecosystems — invoking models, wrapping native libraries, and enabling smooth interoperability
- Build robust benchmarking harnesses to evaluate system performance and surface edge cases
- Collaborate with data, research, and engineering teams to support model training and evaluation workflows
- Participate in synchronous design reviews to iterate quickly on architecture and implementation decisions
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Who You Are
- 3–5+ years of professional experience writing production-grade C#
- Experienced full-stack developer with a strong systems programming background
- Skilled at interoperability scenarios — calling Python ML models from .NET, wrapping native libraries, crossing runtime boundaries cleanly
- Experienced designing benchmarking and evaluation harnesses for real systems
- Clear, precise written and verbal communicator — you can explain a design decision as well as implement one
- Native or fluent English speaker
- Able to commit 20–40 hours per week reliably
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Nice to Have
- Prior experience with:
- Data annotation platforms
- Data quality systems
- Evaluation pipelines
- AI/ML workflows
- Model training infrastructure
- Benchmarking tooling
- Experience with distributed systems or internal developer tooling
- Background in performance engineering or systems-level optimization
Why Join Us
- Work on cutting-edge AI infrastructure alongside leading research labs and engineering teams
- Fully remote and flexible — structure your hours around your life
- Freelance autonomy with the depth and substance of meaningful, long-term engineering work
- Make a direct, tangible impact on how AI systems are built, evaluated, and improved at scale
- Potential for ongoing work and expanded scope as new projects launch
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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