C# Infrastructure Engineer - Data Pipelines

C# Infrastructure Engineer — Data Pipelines (AI Training)
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 C# Full-Stack Engineer to design and build the high-performance data pipelines, annotation tooling, and evaluation systems that sit at the heart of cutting-edge AI development.
This is a fully remote, flexible contract role working alongside leading AI labs on real production systems and high-impact engineering challenges. If you're a senior engineer who thrives on performance, scalability, and building things that actually matter — this is the role for you.
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 resilience 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 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 deep systems programming background
5+ years of professional experience writing production-grade C#
Proven experience building streaming data pipelines using asynchronous streams and reactive programming patterns
Skilled at optimizing I/O-bound operations and implementing resilient retry and fault-tolerance strategies for distributed data ingestion
Able to commit 20–40 hours per week with reliability and consistency
Nice to Have
Prior experience with data annotation, data quality pipelines, or model evaluation systems
Familiarity with AI/ML workflows, model training, or benchmarking infrastructure
Experience with distributed systems architecture or developer tooling
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 and impact of meaningful, production-level work
Make a direct, tangible contribution to the infrastructure powering next-generation AI
Potential for ongoing work and contract extension as new projects launch

Work arrangement
Yes