About The Role What if your C# expertise could directly shape the infrastructure powering the next generation of 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 --- working on real production systems with genuine, measurable impact.
This is a fully remote contract role with flexible hours. If you're a sharp systems thinker who loves solving hard infrastructure problems, this is the kind of work that will actually push you.
- 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 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 --- hunt down bottlenecks and ship scalable fixes
- Collaborate directly with data, research, and engineering teams to support model training and evaluation workflows
- Identify edge cases and systemic issues in data and system behavior and implement robust solutions
- Participate in synchronous design reviews to iterate on architecture and implementation decisions
Who You Are
- Full-stack developer with a strong systems programming background and 3--5+ years of professional C# experience
- Confident writing production-quality code with a focus on modern C# standards and best practices
- Deep understanding of performance optimization, concurrency (threading, atomics), and memory safety
- Clear, precise written and verbal communicator --- you can articulate technical decisions without hand-waving
- Self-directed and reliable when working remotely with minimal supervision
- Native or fluent English speaker
- Able to commit 20--40 hours per week on a consistent basis
Nice to Have
- Prior experience with data annotation, data quality pipelines, or AI evaluation systems
- Familiarity with AI/ML workflows, model training, or benchmarking infrastructure
- Experience with distributed systems or developer tooling
- Background working in fast-moving research or applied ML environments
Why Join Us
- Work directly with leading AI labs on cutting-edge production systems --- not toy projects
- Fully remote and flexible --- structure your work around your life
- Freelance autonomy with the focus and momentum of high-impact engineering work
- Collaborate with world-class data, research, and engineering teams pushing the frontier of AI
- Potential for ongoing work and contract extension as projects scale
