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

Alignerr Corp.; United States; Remote; MXN 1,272,000 - 2,289,000; Part time

Benefits offered by this job

Remote work

Job summary

Alignerr is seeking a Senior Backend Engineer (C#) for a remote hourly contract focused on AI data platforms. You will build and optimize data pipelines, annotation tooling, and evaluation systems that support frontier-model training and benchmarking.

This role emphasizes high-performance backend work and scalable architectures, with 20–40 hours per week. You will design backend services, integrate with cloud-native data services, and collaborate across data, research, and engineering teams to

Qualifications

• 5+ years of professional experience building scalable backend services in C#.
• Strong systems programming with a focus on performance and reliability.
• Experience building RESTful APIs and RPC services.

Responsibilities

• Design, build, and optimize high-performance backend systems in C# that power AI data pipelines and evaluation workflows.
• Develop backend services and tooling for large-scale data annotation, validation, and quality control.
• Build and maintain RESTful APIs and RPC services for reliable inter-service communication.
• Integrate with cloud-native data services and orchestrate workflows across message bus architectures.
• Improve reliability, performance, and safety across existing production C# codebases.
• Collaborate with data, research, and engineering teams to support model training and evaluation workflows.
• Identify bottlenecks and edge cases in system behavior and implement scalable, maintainable fixes.
• Participate in synchronous design reviews to iterate on system architecture and implementation decisions.

Skills

C# backend

REST APIs

RPC services

Cloud data services

Message bus

Systems programming

English fluency

Job description

Alignerr is seeking a Senior Backend Engineer (C#) for a remote hourly contract focused on AI data platforms. You will build and optimize data pipelines, annotation tooling, and evaluation systems that support frontier-model training and benchmarking.

This role emphasizes high-performance backend work and scalable architectures, with 20–40 hours per week. You will design backend services, integrate with cloud-native data services, and collaborate across data, research, and engineering teams to