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