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About The Role
What if your C# expertise could directly shape the infrastructure powering the next generation of AI? 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 their models.
This is a high-impact, fully remote contract role for an experienced engineer who thrives on solving hard systems problems and wants their work to matter at scale.
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 power AI data pipelines and evaluation workflows
Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control
Improve the reliability, performance, and safety of existing C# codebases used in production AI research environments
Collaborate 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, production-ready fixes
Participate in synchronous design reviews to iterate on architecture and implementation decisions with top engineering talent
Who You Are
Full-stack developer with a strong systems programming background and deep C# expertise
3–5+ years of professional experience writing production-grade C# code, with fluency in modern standards
Solid understanding of 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 without hand-holding
Comfortable working asynchronously across distributed teams
Nice to Have
Prior experience with data annotation pipelines, data quality systems, or evaluation infrastructure
Familiarity with AI/ML workflows, model training, or benchmarking systems
Experience with distributed systems architecture or developer tooling
Background working with or alongside AI research teams
Why Join Us
Work on real, production systems used by leading AI labs — not toy projects
Fully remote and flexible — work from wherever you do your best work
Freelance autonomy with the structure of meaningful, high-stakes engineering work
Collaborate with world-class researchers and engineers on problems that matter
Potential for ongoing work and contract extension as projects evolve and expand
Work arrangement
Yes
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