
Senior Backend Engineer (C#) - AI Data Platform
- Pay
- $50–$75/hr
- Location
- Worldwide
- Type
- Contract
- Posted
- Jun 26, 2026
- Languages
- English
- Who can apply
- Not available in Kenya, Afghanistan, Burundi, Central African Republic, Republic of the Congo, Cuba, Dr Congo, Eritrea, Guinea, Guinea Bissau, Iran, Iraq, Liberia, Libya, Myanmar, North Korea, Papua New Guinea, Somalia, South Sudan, Sudan, Syria, Vanuatu, Venezuela, Yemen
Senior Backend Engineer (C#) — AI Data Platform
About the Role
What if your expertise in C# and backend systems could directly shape the infrastructure powering the world's most advanced AI models? We're looking for a Senior C# Engineer to build and optimize the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and improve next-generation AI.
This is a fully remote contract role with flexible scheduling. You'll work on real production systems alongside data, research, and engineering teams — doing work that has a measurable impact on how AI is built.
- 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
- Collaborate with data, research, and engineering teams to support model training and evaluation
- Identify bottlenecks and edge cases in data and system behavior — then implement scalable, production-ready 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 expertise in 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 consistently
Nice to Have
- 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
Why Join Us
- Work directly on cutting-edge AI infrastructure alongside leading research labs
- Fully remote and flexible — work from wherever you do your best work
- Freelance autonomy with the structure and impact of meaningful, high-stakes engineering
- 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
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