C# Infrastructure Engineer - Data Pipelines

Alignerr Corp.; Seattle (WA); Remote; USD 83,000 - 131,000; Part time

Benefits offered by this job

Fully remote

Job summary

Alignerr is seeking a senior C# engineer to design and build high-performance data pipelines, annotation tooling, and evaluation infrastructure powering AI systems. This fully remote hourly contract role offers 20-40 hours per week and the chance to contribute across production-grade C# systems used in leading AI research labs.

Ideal candidates have 5+ years writing C# in production, strong systems programming, and experience with streaming data pipelines and distributed data ingestion.

Qualifications

• 5+ years of professional experience writing production-grade C#.
• Experience building streaming data pipelines using asynchronous streams.
• Strong systems programming background.
• Able to commit 20-40 hours per week for a remote contract.
• Experience with distributed data ingestion and reliability improvements.

Responsibilities

• Design, build, and optimize high-performance C# systems for AI data pipelines and model evaluation workflows.
• Develop tooling and backend services for large-scale data annotation and quality control.
• Improve reliability, performance, and safety across C# codebases.
• Identify bottlenecks 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 design reviews to iterate on architecture and implementation.

Skills

C# expert

Streaming data pipelines

Async streams

I/O optimization

Distributed ingestion

Tools

.NET

Reactive Extensions

Job description

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 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