Senior Backend Engineer (C#) - AI Data Platform

Senior Backend Engineer (C#) — AI Data Platform
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

Work arrangement
Yes