C# Infrastructure Engineer - Data Pipelines

C# Infrastructure Engineer - Data Pipelines (AI Training)

About the Role

What if your C# expertise could directly shape the infrastructure powering the world's most advanced AI systems? We're looking for a Senior C# Full-Stack Engineer to design and build the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and improve next-generation models.

This is a fully remote contract role working on real production systems - high-impact, technically challenging, and 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 that power 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
• Identify bottlenecks and edge cases in data and system behavior, and implement scalable fixes
• Collaborate with data, research, and engineering teams to support model training and evaluation workflows
• Participate in synchronous design and code reviews to iterate on system architecture and implementation decisions

Who You Are

• Native or fluent English speaker with clear written and verbal communication skills
• Full-stack developer with a strong systems programming background
• 5+ years of professional experience writing production-grade C#
• Deep experience building streaming data pipelines using asynchronous streams and reactive programming concepts
• Skilled at optimizing I/O-bound operations and implementing resilient retry policies for distributed data ingestion
• Able to commit 20-40 hours per week consistently

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, developer tooling, or infrastructure engineering

Why Join Us

• Work directly with leading AI labs on production systems that matter
• Fully remote and flexible - work from wherever you do your best engineering
• Freelance autonomy with the structure of meaningful, technically demanding projects
• Contribute to cutting-edge AI infrastructure at a moment when it counts
• Potential for ongoing work and contract extension as new projects launch