Remote C# Data Pipelines Engineer — Flexible Contract

Alignerr

Mexico

On-site

PHP 3,435,000 - 6,871,000

Part time

4 days ago
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Job summary

Alignerr is seeking a Senior C# Full-Stack Engineer to design and build high-performance data pipelines, annotation tooling, and evaluation systems that power AI training and model evaluation. This is a remote hourly contract role with flexible hours, 20–40 hours per week.

You will collaborate with data, research, and engineering teams to ensure scalable, reliable C# solutions across production codebases while shaping the infrastructure for next-generation AI systems.

Qualifications

  • 5+ years of professional C# development experience.
  • Strong background in building data pipelines and backend services.
  • Experience with asynchronous streams and distributed systems.
  • Excellent written and spoken English communication.

Responsibilities

  • Design, build, and optimize high-performance C# systems that power AI data pipelines and evaluation workflows
  • Develop full-stack tooling and backend services for data annotation and quality control
  • Improve reliability, performance, and safety across production C# codebases
  • Identify bottlenecks and implement scalable, resilient fixes
  • Collaborate with data, research, and engineering teams to support model training and evaluation pipelines
  • Participate in synchronous design reviews to iterate on architecture and implementation decisions

Skills

C# development
Full-stack engineering
Reactive programming
Data pipelines
English communication

Job description

Alignerr is seeking a Senior C# Full-Stack Engineer to design and build high-performance data pipelines, annotation tooling, and evaluation systems that power AI training and model evaluation. This is a remote hourly contract role with flexible hours, 20–40 hours per week.

You will collaborate with data, research, and engineering teams to ensure scalable, reliable C# solutions across production codebases while shaping the infrastructure for next-generation AI systems.

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