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