Back to jobs

C# Infrastructure Engineer - Data Pipelines

$50-75/hrRemoteFreelanceCODING

About the Role

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

This is a fully remote, flexible contract role for an experienced engineer who wants meaningful, high-impact work — not just maintenance tickets. You'll work on real production systems 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, production-ready fixes
  • Participate in synchronous design 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
  • Self-directed and reliable — able to commit 20–40 hours per week and deliver without hand-holding

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 architecture or developer tooling

Why Join Us

  • Work directly with leading AI research labs on real, high-impact production systems
  • Fully remote and async-friendly — work from wherever you do your best work
  • Freelance autonomy with the substance of meaningful, senior-level engineering work
  • Be at the frontier of AI infrastructure — the kind of work that actually matters
  • Potential for ongoing contracts and expanded scope as projects grow