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# engineer to build 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 where your work goes straight into production — no bureaucratic overhead, no filler tasks. Just high-impact engineering on systems that matter.
- 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, and implement scalable fixes
- Participate in synchronous design reviews to iterate on 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#
- Strong skills in data modeling and database access using ORM or micro-ORM frameworks for high-performance SQL interactions
- Experienced building secure, well-documented endpoints for data access and manipulation
- Able to commit 20–40 hours per week with reliable availability
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 with leading AI labs on production systems that power cutting-edge research
- Fully remote and flexible — work from wherever you do your best thinking
- Freelance autonomy with meaningful, technically challenging work
- Make a direct, tangible impact on how AI systems are built and evaluated at scale
- Potential for ongoing work and contract extension as new projects launch