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

Alignerr Corp.; United States; Remote; MXN 689,000 - 1,102,000; Part time

Benefits offered by this job

Fully remote

Freelance autonomy

Job summary

Alignerr Corp. is seeking a Senior C# Full-Stack Engineer to design and optimize AI data pipelines, annotation tooling, and evaluation systems.

This remote hourly contract offers 20–40 hours per week, with a focus on high-performance C# development, data modeling, and scalable backend services that support model training and evaluation workflows.

You will collaborate with AI labs and research teams, contributing to robust, production-grade systems in a fully remote setup.

Qualifications

• 5+ years of professional experience coding production-grade C#
• Strong data modeling and high-performance SQL via ORM/micro-ORM
• Experience building secure, well-documented endpoints
• Full-stack developer with a strong systems programming background

Responsibilities

• Design, build, and optimize high-performance C# systems for 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, implementing scalable fixes
• Participate in architecture/design reviews to iterate on implementation decisions

Skills

C#

Data modeling

System design

Security best practices

Full-stack development

English communication

Tools

ORM frameworks

SQL

Job description

Alignerr Corp. is seeking a Senior C# Full-Stack Engineer to design and optimize AI data pipelines, annotation tooling, and evaluation systems.

This remote hourly contract offers 20–40 hours per week, with a focus on high-performance C# development, data modeling, and scalable backend services that support model training and evaluation workflows.

You will collaborate with AI labs and research teams, contributing to robust, production-grade systems in a fully remote setup.