Senior C# Full-Stack Engineer - AI Data & Infrastructure
Alignerr
Senior C# Full-Stack Engineer - AI Data & Infrastructure About the Role What if your C# expertise could directly shape the infrastructure powering next-generation AI? We're looking for a Senior C# Full-Stack Engineer to build and optimize the systems that leading AI labs depend on - from data pipelines and annotation tooling to evaluation infrastructure that influences how frontier models are trained and assessed. This is a fully remote contract role with meaningful technical challenges, real production impact, and the flexibility to work on your own terms.
- Organization
: Alignerr - Type
: Hourly Contract - Location
: Remote - Commitment
: 20-40 hours/week
- Design, build, and optimize high-performance C# systems supporting large-scale AI data pipelines and evaluation workflows
- Develop full-stack tooling and backend services for data annotation, validation, and quality control at scale
- 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 architecture and implementation decisions
- Native or fluent English speaker with strong written and verbal communication skills
- Experienced full-stack developer with a solid systems programming foundation
- 3-5+ years of professional experience writing production C# code, with command of modern standards
- Deep understanding of performance optimization, concurrency (threading, atomics), and memory safety (RAII, smart pointers, sanitizers)
- Able to commit 20-40 hours per week with reliability and consistency
- Self-directed and comfortable working in fast-moving, async-first environments
- Prior experience with data annotation pipelines, data quality systems, or evaluation infrastructure
- Familiarity with AI/ML workflows, model training loops, or benchmarking pipelines
- Experience building distributed systems or developer tooling at scale
- Work directly with leading AI labs on systems that influence how frontier models are built
- Tackle genuinely hard engineering problems - not maintenance tickets
- Fully remote and flexible - structure your week around your best work
- Freelance autonomy with the substance of high-impact engineering work
- Potential for ongoing contracts and expanded scope as projects grow
Vacancy posted 4 days ago
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