Senior Backend Engineer (C#) - AI Data Platform
Indexed description
This is a fully remote, flexible contract role for a seasoned engineer who thrives on solving hard systems problems and wants their work to matter at scale.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 20–40 hours/week
- Design, build, and optimize high-performance C# systems supporting large-scale AI data pipelines and evaluation workflows
- Develop backend services and tooling for data annotation, validation, and quality control at scale
- Improve the reliability, performance, and safety of existing C# codebases
- Collaborate with data, research, and engineering teams to accelerate model training and evaluation
- Identify and resolve bottlenecks and edge cases across data and system behavior
- Participate in synchronous design reviews and iterate rapidly on architecture and implementation decisions
- 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 RESTful APIs and RPC services
- Experienced with cloud-native data services and message bus architectures for workflow orchestration
- Native or fluent English speaker with clear written and verbal communication skills
- Self-directed and reliable — able to commit 20–40 hours per week and deliver independently
- Prior experience with data annotation platforms, data quality pipelines, or evaluation systems
- Familiarity with AI/ML workflows, model training pipelines, or benchmarking infrastructure
- Experience with distributed systems design or developer tooling
- Background working directly with or alongside AI research teams
- Work on real production systems used by leading AI research labs — not toy projects
- Fully remote and asynchronous-friendly — work from wherever you do your best work
- Flexible contract structure with meaningful, high-impact technical work
- Collaborate with top engineers and researchers pushing the boundaries of AI
- Potential for ongoing contract extensions as projects grow and new initiatives launch
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