Software Engineer (C#) - Internal Tooling

Alignerr Corp.

Denver (CO)

Remote

USD 83,000 - 131,000

Full time

4 hours ago
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Job summary

Alignerr is seeking a Software Engineer (C#) to build internal tooling and AI infrastructure. You will design, implement, and optimize high-performance C# systems that power data annotation pipelines, evaluation tooling, and quality-control tooling.

This is a fully remote hourly contract (20–40 hours/week). You will collaborate with data scientists, researchers, and other engineers to scale AI workflows, benchmarking, and model evaluation.

Qualifications

  • 3–5+ years of production-grade C# experience.
  • Strong systems programming fundamentals.
  • Experience with data pipelines and AI workflows.

Responsibilities

  • Design, build, and optimize high-performance C# systems for data pipelines and evaluation workflows.
  • Develop full-stack tooling and backend services for data annotation, validation, and quality control.
  • Improve reliability, performance, and safety of C# codebases.
  • Collaborate with data, research, and engineering teams to support model training and evaluation workflows.
  • Identify bottlenecks and scale-edge cases with robust solutions.
  • Participate in design reviews and architecture decisions.
  • Build benchmarking and performance evaluation harnesses.

Skills

C# production
Full-stack basics
Python interop
Benchmarking harnesses
English fluency
Weekly commitment

Job description

Software Engineer (C#) — Internal Tooling (AI Infrastructure)

What if your C# expertise could directly shape the infrastructure powering the next generation of AI? We're looking for experienced full-stack C# engineers to build and improve the systems that leading AI labs depend on — from data annotation pipelines to evaluation harnesses and quality control tooling.

This is a fully remote contract role with flexible commitment. You'll work on real production systems alongside data, research, and engineering teams at the frontier of AI development.

  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 20–40 hours/week
What You'll Do
  • Design, build, and optimize high-performance C# systems supporting 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 and resolve bottlenecks and edge cases in data and system behavior with scalable solutions
  • Participate in synchronous design reviews to iterate on architecture and implementation decisions
  • Build and maintain robust benchmarking and performance evaluation harnesses
Who You Are
  • 3–5+ years of professional experience writing production-grade C#
  • Strong full-stack developer background with solid systems programming fundamentals
  • Expertise in interoperability scenarios — such as invoking Python ML models from .NET or wrapping native libraries
  • Experienced designing robust harnesses for benchmarking and evaluating system performance
  • Native or fluent English speaker with clear written and verbal communication skills
  • Able to commit 20–40 hours per week with reliability and consistency
Nice to Have
  • Prior experience with data annotation, data quality, or evaluation systems
  • Familiarity with AI/ML workflows, model training, or benchmarking pipelines}
  • Experience with distributed systems or developer tooling
  • Background working with or alongside research teams in a fast-moving environment
Why Join Us
  • Work on cutting-edge AI projects alongside leading research labs
  • Fully remote and flexible — work when and where it suits you
  • Freelance autonomy with the structure of meaningful, high-impact technical work
  • Build systems that directly influence how next-generation AI models are trained and evaluated
  • Potential for ongoing work and contract extension as new projects launch
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