Senior C# Full-Stack Engineer — AI Data & Infrastructure

Company: Alignerr

Location: Denver, CO (Remote)

Type: Contract

Remote: Yes

Posted: 2026-06-02

About this role

About The Role
What if your C# expertise could directly shape the infrastructure powering the world's most advanced AI systems? We're looking for a Senior C# Full-Stack Engineer to build and optimize the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and improve next-generation models.


This is a fully remote, flexible contract role for an experienced engineer who wants to work on real production systems at the frontier of AI — not just maintain legacy code, but architect meaningful infrastructure that matters.

  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 20–40 hours/week

What You'll Do

  • Design, build, and optimize high-performance C# systems that support 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 used in production AI environments
  • Collaborate closely with data, research, and engineering teams to support model training and evaluation workflows
  • Identify bottlenecks and edge cases in data and system behavior — then implement scalable, robust fixes
  • Participate in synchronous design reviews to iterate on architecture and implementation decisions

Who You Are

  • Full-stack developer with a strong systems programming background and deep command of C#
  • 3–5+ years of professional experience writing production-grade C# code, with familiarity with modern standards
  • Solid grounding in performance optimization, concurrency (threading, atomics), and memory safety
  • Native or fluent English speaker with clear written and verbal communication skills
  • Self-directed and reliable — able to commit 20–40 hours per week and deliver consistently without hand-holding
  • Comfortable navigating complex codebases and making principled architectural decisions under real constraints

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