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 Backend Engineer to design and build the data pipelines, annotation tooling, and evaluation systems 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 thrives on high-impact, technically demanding work. If you've spent years building scalable backend systems and want to apply that expertise at the frontier of AI development — this is the role.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 20–40 hours/week
What You'll Do
- Design, build, and optimize high-performance systems in C# that support AI data pipelines and evaluation workflows
- Develop backend services and full-stack tooling for large-scale data annotation, validation, and quality control
- Improve reliability, performance, and safety across existing C# codebases used in production AI systems
- Collaborate closely 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, robust fixes
- Participate in synchronous design reviews to iterate on system architecture and implementation decisions
Who You Are
- Native or fluent English speaker with clear written and verbal communication skills
- 5+ years of professional experience building scalable backend services in C#
- Strong systems programming background with full-stack development experience
- Deep familiarity with modern frameworks for building RESTful APIs and RPC services for inter-service communication
- Experienced integrating with cloud-native data services and orchestrating workflows via message bus architectures
- Able to commit 20–40 hours per week with consistency and reliability
Nice to Have
- Prior experience with data annotation, data quality systems, or evaluation pipelines
- Familiarity with AI/ML workflows, model training, or benchmarking infrastructure
- Experience with distributed systems or internal developer tooling
- Background working with or alongside AI research teams
Why Join Us
- Work on real, production-grade systems used by leading AI research labs
- Fully remote and flexible — work on your own schedule from anywhere
- Freelance autonomy with the structure of meaningful, high-impact engineering work
- Contribute directly to the infrastructure that shapes how next-generation AI models are built and evaluated
- Potential for ongoing work and contract extension as new projects launch