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
