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C# Infrastructure Engineer - Data Pipelines

$50-75/hrRemoteFreelanceCODING

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