Senior C# Backend Engineer — AI Data Pipelines (Remote)

Alignerr Corp.; Seattle (WA); Remote; USD 96,000 - 165,000; Part time

Job summary

Alignerr is seeking a Senior C# Full-Stack Engineer for a remote hourly contract. You will design, build, and optimize high-performance C# systems powering AI data pipelines and evaluation workflows.

The role emphasizes production-grade code, data annotation tooling, and scalable backend services, with 20–40 hours per week commitment. You will collaborate across data, research, and engineering teams to improve reliability, performance, and security, while participating in architecture reviews

Qualifications

• 5+ years of professional experience writing production-grade C#.
• Experience with data modeling and high-performance SQL interactions.
• Proven ability to build secure, well-documented endpoints for data access and manipulation.
• Strong full-stack development background with systems programming experience.

Responsibilities

• Design, build, and optimize high-performance C# systems supporting AI data pipelines and model evaluation workflows.
• Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control.
• Improve reliability, performance, and safety across production C# codebases.
• Collaborate with data, research, and engineering teams to support model training and evaluation infrastructure.
• 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.

Skills

C# development

Full-stack development

Systems programming

Data modeling

API design

Tools

ORM frameworks

Micro-ORMs

Job description

Alignerr is seeking a Senior C# Full-Stack Engineer for a remote hourly contract. You will design, build, and optimize high-performance C# systems powering AI data pipelines and evaluation workflows.

The role emphasizes production-grade code, data annotation tooling, and scalable backend services, with 20–40 hours per week commitment. You will collaborate across data, research, and engineering teams to improve reliability, performance, and security, while participating in architecture reviews