Software Engineer
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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
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