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C# Infrastructure Engineer - Data Pipelines
Remote (Global)
$50 – $75/hr
July 14, 2026
Job description
C# Infrastructure Engineer — AI Data Pipelines
About the Role
What if your C# skills could directly shape the infrastructure powering next-generation AI? We're looking for a Senior C# Full-Stack Engineer to build and optimize the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and improve their models.
This is a fully remote, flexible contract role for an experienced engineer who wants meaningful, high-impact work — not just maintenance tickets. You'll work on real production systems alongside 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 supporting 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, production-ready fixes
- Participate in synchronous design reviews to iterate on system 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 concepts
- Skilled at optimizing I/O-bound operations and implementing resilient retry policies for distributed data ingestion
- Self-directed and reliable — able to commit 20–40 hours per week and deliver without hand-holding
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 architecture or developer tooling
Why Join Us
- Work directly with leading AI research labs on real, high-impact production systems
- Fully remote and async-friendly — work from wherever you do your best work
- Freelance autonomy with the substance of meaningful, senior-level engineering work
- Be at the frontier of AI infrastructure — the kind of work that actually matters
- Potential for ongoing contracts and expanded scope as projects grow
Apply now
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