About the Role
What if your C# expertise could directly shape the infrastructure powering the next generation of AI? We're looking for experienced C# full-stack engineers to build the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and benchmark their models.
This is a fully remote contract role with flexible hours. You'll work on real production systems — not toy projects — 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 robustness 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
Who You Are
- Native or fluent English speaker with clear written and verbal communication skills
- Full-stack developer with a strong systems programming background
- 3–5+ years of professional experience writing production-grade C#
- Experienced with interoperability scenarios — invoking Python ML models from .NET, wrapping native libraries, or similar challenges
- Skilled at designing robust benchmarking and performance evaluation harnesses
- Able to commit 20–40 hours per week with reliability and consistency
Nice to Have
- Prior experience with data annotation, data quality pipelines, or evaluation systems
- Familiarity with AI/ML workflows, model training, or benchmarking infrastructure
- Experience with distributed systems or developer tooling
- Background working alongside research or data science teams
Why Join Us
- Work on cutting-edge AI projects alongside leading research labs
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, high-impact engineering work
- Make a tangible contribution to the systems that shape how AI models are built and evaluated
- Potential for ongoing work and contract extension as new projects launch