C# Infrastructure Engineer - Data Pipelines

C# Infrastructure Engineer — Data Pipelines (AI Training) About The Role What if your C# skills could directly shape the infrastructure behind the most advanced AI systems in the world? We're looking for a Senior C# Engineer to design and build the high-performance data pipelines, annotation tooling, and evaluation infrastructure that leading AI labs depend on to train and improve their models.

This is fully remote contract work on real production systems — not toy projects. You'll be embedded in workflows that matter, collaborating with 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 powering 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 fixes
• Participate in synchronous design reviews to iterate on 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 patterns
• Proven ability to optimize I/O-bound operations and implement resilient retry policies for distributed data ingestion
• Able to commit 20–40 hours per week with consistency

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 or developer tooling

Why Join Us

• Work directly on cutting-edge AI systems alongside leading research labs
• Fully remote and flexible — work from wherever you do your best work
• Meaningful, high-impact engineering — not maintenance work
• Freelance autonomy with the structure of real, production-scale projects
• Potential for ongoing work and contract extension as new projects launch