Senior C# Infra Eng - AI Data Pipelines (Remote)

Alignerr Corp.

United States

Remote

GBP 83,000 - 165,000

Part time

22 hours ago
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Job summary

Alignerr Corp. is seeking a Senior C# Engineer to design and build high-performance data pipelines and evaluation infrastructure powering AI training. The role focuses on scalable C# systems, annotation tooling, and reliable backend services in a fully remote setting.

You will collaborate with data, research, and engineering teams to optimize pipelines and support model training for cutting-edge AI workloads. 20–40 hours per week, hourly contract, with potential for ongoing opportunities.

Qualifications

  • 5+ years of professional experience writing production-grade C#.
  • Deep experience building streaming data pipelines using asynchronous streams and reactive patterns.
  • Strong systems programming background as a full-stack developer.
  • Excellent English communication and collaboration skills.
  • Ability to commit 20–40 hours per week with consistency.

Responsibilities

  • Design, build, and optimize high-performance C# systems powering AI data pipelines and evaluation workflows.
  • Develop full-stack tooling and backend services for large-scale data annotation 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 design reviews to iterate on architecture and implementation decisions.

Skills

C# development
Async streams
Data pipelines
Distributed systems
Full-stack dev

Job description

Alignerr Corp. is seeking a Senior C# Engineer to design and build high-performance data pipelines and evaluation infrastructure powering AI training. The role focuses on scalable C# systems, annotation tooling, and reliable backend services in a fully remote setting.

You will collaborate with data, research, and engineering teams to optimize pipelines and support model training for cutting-edge AI workloads. 20–40 hours per week, hourly contract, with potential for ongoing opportunities.

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