Software Engineer (C#) — Internal Tooling (AI Infrastructure)
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 experienced C# full-stack engineers to build and optimize the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on.
This is a fully remote contract role with meaningful technical scope — real production systems, high-impact workflows, and the kind of engineering problems that actually stretch your skills.
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 bottlenecks and edge cases in data and system behavior, and implement scalable, production-ready fixes
Participate in synchronous design reviews and iterate on system architecture decisions with senior engineers
Who You Are
Native or fluent English speaker with clear written and verbal communication skills
Full-stack developer with a strong systems programming background
3–5+ years of professional experience writing production-grade C#
Experienced in interoperability scenarios — such as invoking Python ML models from .NET or wrapping native libraries
Skilled at designing robust benchmarking and evaluation harnesses
Able to commit 20–40 hours per week consistently
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 directly with or alongside AI research teams
Why Join Us
Work on cutting-edge AI infrastructure alongside leading research labs
Fully remote and flexible — work from wherever you do your best engineering
Freelance autonomy with the structure and consistency of ongoing, meaningful project work
Tackle genuinely hard technical problems with real-world impact on AI systems at scale
Potential for ongoing work and contract extension as new projects launch