C# Infrastructure Engineer - Data Pipelines

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

• 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

• 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

• 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

• 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