Senior Backend Engineer (C#) - AI Data Platform

Alignerr Corp.

United States

Remote

MXN 1,550,000 - 3,101,000

Part time

3 hours ago
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Job summary

Alignerr is seeking a Senior Backend Engineer to build and optimize data pipelines and AI tooling in C#. This fully remote, hourly contract role offers 20–40 hours per week against high-impact projects in AI data platforms.

You will design high-performance backend services, RESTful APIs, and RPC components, collaborate with AI researchers, and ship scalable systems across cloud-native environments. Fluent English and self-directed work are essential.

Qualifications

  • 5+ years of professional experience building scalable backend services in C#.
  • Strong systems programming background with focus on performance and reliability.
  • Experience designing RESTful APIs and RPC services at scale.
  • Experience with cloud-native data services and message bus architectures.
  • Excellent written and spoken English communication.

Responsibilities

  • Design, build, and optimize high-performance backend systems in C# for 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 systems
REST APIs
RPC services
Cloud-native
English fluency
Data pipelines

Job description

Senior Backend Engineer (C#) — AI Data Platform
About The Role

What if your C# expertise could directly shape the infrastructure powering the next generation of AI? We're looking for a Senior Backend Engineer to build and optimize the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and benchmark frontier models.

This is a fully remote, flexible contract role for an experienced engineer who wants to work on genuinely hard problems at the intersection of software engineering and AI research — without the constraints of a full-time role.

  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 20–40 hours/week
What You'll Do
  • 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
Who You Are
  • 5+ years of professional experience building scalable backend services in C#
  • Strong systems programming background with a deep understanding of performance and reliability trade-offs
  • Mastery of modern frameworks for building RESTful APIs and RPC services
  • Solid experience integrating with cloud-native data services and message bus architectures
  • Native or fluent English speaker with clear written and verbal communication skills
  • Self-directed and dependable — you can commit 20–40 hours per week and deliver without hand-holding
Nice to Have
  • Prior experience with data annotation, data quality pipelines, or model evaluation systems
  • Familiarity with AI/ML workflows, model training, or benchmarking infrastructure
  • Experience with distributed systems design or developer tooling
  • Background in full-stack development alongside strong backend fundamentals
Why Join Us
  • Work on real production systems used by leading AI research labs — this is high-impact engineering, not toy projects
  • Fully remote and async-friendly — work when and where you do your best thinking
  • Freelance autonomy with the structure of meaningful, ongoing technical work
  • Collaborate with engineers and researchers at the cutting edge of AI development
  • Potential for ongoing contract extension as projects scale and new work launches
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