C# Infrastructure Engineer - Data Pipelines

Alignerr; United States; Remote; GBP 83,000 - 165,000; Part time

Job summary

Alignerr is seeking a Senior C# Engineer to design and build high-performance data pipelines, annotation tooling, and evaluation infrastructure for AI training. This fully remote contract role embeds you with data, research, and engineering teams to deliver production-grade systems.

You'll work on streaming data pipelines, backend services for large-scale data annotation, and resilience improvements across C# codebases, with 20–40 hours per week commitment and potential for ongoing projects.

Qualifications

• 5+ years of professional experience writing production-grade C#.
• Full-stack developer with a strong systems programming background.
• Experience building streaming data pipelines using asynchronous streams.
• Proven ability to optimize I/O-bound operations and implement resilient retry policies for distributed data ingestion.
• Willing to commit 20–40 hours per week

Responsibilities

• 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

Skills

C#

Reactive programming

Streaming data pipelines

Distributed systems

English communication

Job description

C# Infrastructure Engineer — Data Pipelines (AI Training)

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.

About The Role

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