C# Infrastructure Engineer - Data Pipelines

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

• 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

• 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

• 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

• 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