Alignerr
C# Infrastructure Engineer - Data Pipelines
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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
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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
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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
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