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Senior Backend Engineer (C#) - AI Data Platform
Job description
Senior Backend Engineer (C#) — AI Data Platform
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 Backend Engineer to design and build the high-performance data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and improve their models.
This is a fully remote contract role with flexible hours. You'll be working 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 backend systems in C# supporting large-scale AI data pipelines and evaluation workflows
- Develop backend services and tooling for data annotation, validation, and quality control at scale
- Build and maintain RESTful APIs and RPC services for reliable inter-service communication
- Integrate with cloud-native data services and orchestrate workflows via message bus architectures
- Identify bottlenecks, edge cases, and reliability issues across existing codebases — then implement scalable fixes
- Collaborate with research and engineering teams to support model training, benchmarking, and evaluation workflows
- Participate in synchronous design reviews and iterate on system architecture decisions
Who You Are
- 5+ years of professional experience building scalable backend services in C#
- Deep command of modern C# frameworks for RESTful APIs and RPC-based inter-service communication
- Experienced integrating with cloud-native data services and message bus architectures
- Systems-level thinker who can identify performance issues and architect clean, scalable solutions
- Clear, concise written and verbal communicator — comfortable working with cross-functional teams
- Native or fluent English speaker
- Able to commit 20–40 hours per week consistently
Nice to Have
- Prior experience with data annotation platforms, data quality systems, or evaluation pipelines
- Familiarity with AI/ML workflows, model training, or benchmarking infrastructure
- Experience with distributed systems design or developer tooling
- Full-stack background with frontend exposure alongside a strong backend foundation
Why Join Us
- Work directly on cutting-edge AI projects alongside leading research labs
- Fully remote and flexible — work from wherever you do your best work
- Freelance autonomy with the structure of meaningful, high-impact engineering work
- Contribute to infrastructure that shapes how next-generation AI systems are built and evaluated
- Potential for ongoing work and contract extension as new projects launch
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