About the Role
What if your C# engineering skills could directly shape the infrastructure powering the world's most advanced AI systems? We're looking for a senior C# engineer to design and build the high-performance data pipelines, annotation tooling, and evaluation infrastructure that leading AI labs depend on to train and improve next-generation models.
This is a fully remote, flexible contract role for an experienced engineer who wants meaningful, high-impact work — without the overhead of a full-time commitment.
- 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 model 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
- Identify bottlenecks and edge cases in data and system behavior, then implement scalable, resilient fixes
- Collaborate with data, research, and engineering teams to support model training and evaluation workflows
- 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
- Full-stack developer with a strong systems programming background
- 5+ years of professional experience writing production-grade C#
- Deep experience building streaming data pipelines using asynchronous streams and reactive programming concepts
- Skilled at optimizing I/O-bound operations and implementing resilient retry policies for distributed data ingestion
- Able to commit 20–40 hours per week with reliable availability
Nice to Have
- Prior experience with data annotation, data quality, or AI evaluation systems
- Familiarity with AI/ML workflows, model training, or benchmarking pipelines
- Experience with distributed systems architecture or developer tooling
Why Join Us
- Work directly on production systems used by leading AI research labs
- Fully remote and flexible — structure your hours around your life
- Freelance autonomy with the depth and consistency of real, ongoing engineering work
- Make a tangible impact on the infrastructure shaping the future of AI
- Potential for ongoing work and contract extension as projects scale