Software Engineer; C Internal Tooling
Job in
Buffalo, Erie County, New York, 14201, USA
Listed on 2026-10-20
Listing for:
Alignerr Corp.
Full Time, Part Time
position Listed on 2026-10-20
Job specializations:
-
Software Development
Software Engineer, AI Engineer (Applied/Software), Full Stack Developer, Backend Developer
Job Description & How to Apply Below
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.
- Organization:
Alignerr - Type:
Hourly Contract - Location:
Remote - Commitment: 20–40 hours/week
- 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
- 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
- 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
- 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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