C# Infrastructure Engineer — AI Data Pipelines
About The Role
What if your C# engineering skills could directly shape the infrastructure powering the world's most advanced AI systems? 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 next-generation models.
This is a fully remote, flexible contract role for an experienced engineer who wants meaningful, high-impact work — without the overhead of a full-time commitment.
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 model 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
Identify bottlenecks and edge cases in data and system behavior, then implement scalable, resilient fixes
Collaborate with data, research, and engineering teams to support model training and evaluation workflows
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
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 with reliable availability
Nice to Have
Prior experience with data annotation, data quality, or AI 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 on production systems used by leading AI research labs
Fully remote and flexible — structure your hours around your life
Freelance autonomy with the depth and consistency of real, ongoing engineering work
Make a tangible impact on the infrastructure shaping the future of AI
Potential for ongoing work and contract extension as projects scale