Senior Backend Engineer (C#) - AI Data Platform
About this role
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 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 scheduling — and the work is anything but routine. You'll be embedded in real production systems, solving hard engineering problems at the intersection of scale, performance, and AI. - 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 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 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 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 Nice to Have - 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 Why Join Us - 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
Application listings
Choose a source listing and check its country requirements.