Technology, Information and Internet · 4.4k people
Senior Backend Engineer (C#) - AI Data Platform
Posted 2 Nov
What’s this role about? Design, build, and optimize high-performance C# systems, backend services, and tooling for AI data pipelines, annotation, validation, and evaluation workflows. Improve production system reliability, performance, and safety, and collaborate with research, data, and engineering teams to resolve bottlenecks and support model training and evaluation.
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Company
About Alignerr We're looking for experts to help train better AI. At Alignerr, we offer paid, flexible projects for writers, coders, and subject matter experts to refine and align advanced artificial intelligence. Work when you want, where you want. Apply today at Alignerr.com or through our open Job Postings.
Responsibilities
- Design, build, and optimize high-performance C# systems supporting 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 — then implement scalable, elegant fixes
- Participate in synchronous design reviews to iterate on architecture and implementation decisions
Qualification
Required
- 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 mastery of modern frameworks for RESTful APIs and RPC services for inter-service communication
- Experienced integrating with cloud-native data services and orchestrating workflows via message bus architectures
- Self-directed and reliable — you can commit to 20–40 hours per week and deliver without hand-holding
Preferred
- Prior experience with data annotation, data quality pipelines, or evaluation systems
- Familiarity with AI/ML workflows, model training, or benchmarking pipelines
- Experience with distributed systems design or developer tooling
Benefits
- Work on cutting-edge AI infrastructure alongside world-class research labs
- Fully remote and flexible — work on your own schedule from anywhere
- Freelance autonomy with the substance of genuinely high-impact engineering work
- Contribute to systems that directly influence how next-generation AI models are built and evaluated
- Potential for ongoing work and contract extension as new projects launch
Interested in this role?
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