
Senior Backend Engineer (C#) - AI Data Platform
Department:Backend Developer
Type:REMOTE
Region:UK
Location:United Kingdom
Experience:Mid-Senior level
Estimated Salary:£60,000 - £90,000
Skills:
C#BACKEND DEVELOPMENTFULL-STACK DEVELOPMENTRESTFUL APISRPC SERVICESCLOUD-NATIVE DATA SERVICESMESSAGE BUS ARCHITECTURESAI/ML WORKFLOWSDATA ANNOTATIONDISTRIBUTED SYSTEMS
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Job Description
Posted on: February 7, 2026
About The JobAlignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. We work on real production systems and high-impact research workflows across data, tooling, and infrastructure. Position Senior C# Full-Stack Engineer — AI Data & InfrastructureType: Contract, Remote Commitment: 20–40 hours/week Compensation: Competitive, hourly (based on experience) Role Responsibilities
- Design, build, and optimize high-performance systems in C# supporting AI data pipelines and evaluation workflows
- Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control
- Improve reliability, performance, and safety across existing C# codebases
- Collaborate 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 fixes
- Participate in synchronous reviews to iterate on system design and implementation decisions
QualificationsMust-Have
- Native or fluent English speaker
- Full-stack developer experience with a strong systems programming background
- 5+ years of professional experience building scalable backend services in C#.
- Mastery of modern frameworks for building RESTful APIs and RPC services for inter-service communication.
- Experience integrating with cloud-native data services and orchestrating workflows via message bus architectures.
- Clear written and verbal communication skills.
- Ability to commit 20–40 hours per week.
Preferred
- Prior experience with data annotation, data quality, or evaluation systems
- Familiarity with AI/ML workflows, model training, or benchmarking pipelines
- Experience with distributed systems or developer tooling
Application Process
- Submit your resume
- Complete a short technical screening
- Project matching and onboarding
Originally posted on LinkedIn
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