Senior C# AI Data Systems Engineer — Remote Contract

Alignerr

Mexico

On-site

PHP 5,031,000 - 8,385,000

Part time

12 days ago

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Job summary

Alignerr is seeking a Senior C# Full-Stack Engineer to design and optimize data pipelines, annotation tooling, and evaluation systems that power AI model training. You’ll work with production-grade C# backends and scalable services in a fully remote contract.

You’ll collaborate with data, research, and engineering teams, own key components end-to-end, and contribute to reliable, performant systems. Expect 20–40 hours per week and flexible async collaboration.

Qualifications

  • 5+ years of professional experience writing production-grade C#.
  • Strong skills in data modeling and database access using ORM frameworks or micro-ORMs for high-performance SQL interactions.
  • Experienced building secure, well-documented endpoints for data access and manipulation.
  • Able to commit 20–40 hours per week with reliability and consistency.

Responsibilities

  • Design, build, and optimize high-performance C# systems supporting 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, and implement scalable fixes.
  • Participate in synchronous design reviews to iterate on architecture and implementation decisions.

Skills

C# programming
Full-stack
Data modeling
ORM / micro-ORM
Secure endpoints
Remote collaboration

Tools

ORM frameworks

Job description

Alignerr is seeking a Senior C# Full-Stack Engineer to design and optimize data pipelines, annotation tooling, and evaluation systems that power AI model training. You’ll work with production-grade C# backends and scalable services in a fully remote contract.

You’ll collaborate with data, research, and engineering teams, own key components end-to-end, and contribute to reliable, performant systems. Expect 20–40 hours per week and flexible async collaboration.

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