Remote C# Systems Engineer — AI Infra & Data Pipelines

Alignerr Corp.; United States; Remote; GBP 55,000 - 110,000; Part time

Job summary

Alignerr is seeking a Software Engineer (C#) to join internal tooling for AI infrastructure. You will design and optimize high-performance C# systems that power data pipelines, annotation, and evaluation tooling used by leading AI labs.

This remote hourly contract role offers 20–40 hours per week, with opportunities to extend as new projects launch. You will bridge .NET and Python ML workflows and work with cross-functional teams to ship production-grade solutions.

Qualifications

• 3–5+ years of production-grade C# experience.
• Strong full-stack and systems programming background.
• Experience calling Python ML models from .NET.
• Experience building benchmarking/evaluation harnesses.
• Excellent written and verbal communication; fluent English.

Responsibilities

• Design, build, and optimize high-performance C# systems for large-scale AI pipelines.
• Develop full-stack tooling and backend services for data annotation and validation.
• Improve reliability and performance of production C# codebases.
• Bridge .NET and Python ML ecosystems for model invocation and interoperability.
• Build benchmarking harnesses to evaluate system performance.
• Collaborate with data, research, and engineering teams to support training workflows.
• Participate in design reviews to iterate on architecture and implementation decisions.

Skills

C# production-grade

Full-stack developer

Python interop

Benchmarking harnesses

Clear communication

English fluency

Remote collaboration

Tools

.NET

Python

C#

Job description

Alignerr is seeking a Software Engineer (C#) to join internal tooling for AI infrastructure. You will design and optimize high-performance C# systems that power data pipelines, annotation, and evaluation tooling used by leading AI labs.

This remote hourly contract role offers 20–40 hours per week, with opportunities to extend as new projects launch. You will bridge .NET and Python ML workflows and work with cross-functional teams to ship production-grade solutions.