C# Infrastructure Engineer - Data Pipelines

Alignerr Corp.

United States

Remote

GBP 83,000 - 124,000

Part time

7 hours ago
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Job summary

Alignerr is seeking a Senior C# Infrastructure Engineer to design and build high-performance data pipelines, annotation tooling, and evaluation infrastructure for AI training. This remote, hourly contract role integrates with data, research, and engineering teams to impact real production systems.

You will work on scalable C# systems, streaming data pipelines, and backend tooling for large-scale data annotation and evaluation, contributing to reliability and performance across codebases.

Qualifications

  • 5+ years of professional experience writing production-grade C#.
  • Experience building streaming data pipelines and data annotation tooling.
  • Strong English communication and remote collaboration.
  • Ability to commit 20–40 hours per week.
  • Experience with asynchronous streams and reactive patterns.

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, 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, then implement scalable fixes.
  • Participate in design reviews to iterate on architecture and implementation decisions.

Skills

C# development
Data pipelines
Asynchronous streams
Reactive programming
Distributed systems
Performance optimization

Job description

C# Infrastructure Engineer — Data Pipelines (AI Training)

What if your C# skills could directly shape the infrastructure behind the most advanced AI systems in the world? We're looking for a Senior C# Engineer to design and build the high-performance data pipelines, annotation tooling, and evaluation infrastructure that leading AI labs depend on to train and improve their models.

This is fully remote contract work on real production systems — not toy projects. You'll be embedded in workflows that matter, collaborating with data, research, and engineering teams at the frontier of AI development.

  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 20–40 hours/week
What You'll Do
  • 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, 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 — then implement scalable 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
  • Full-stack developer with a strong systems programming background
  • 5+ years of professional experience writing production‑grade C#
  • Deep experience building streaming data pipelines using asynchronous streams and reactive programming patterns
  • Proven ability to optimize I/O‑bound operations and implement resilient retry policies for distributed data ingestion
  • Able to commit 20–40 hours per week with consistency
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 systems alongside leading research labs
  • Fully remote and flexible — work from wherever you do your best work
  • Meaningful, high‑impact engineering — not maintenance work
  • Freelance autonomy with the structure of real, production‑scale projects
  • Potential for ongoing work and contract extension as new projects launch
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