C# Infrastructure Engineer — Data Pipelines (AI Training)

About The Role

What if your deep C# expertise could directly shape the infrastructure powering the world's most advanced AI systems? We're looking for a Senior C# Full-Stack Engineer to design and build the high-performance data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and improve next-generation models.

This is a fully remote, versátil contract role for experienced engineers who want meaningful, high-impact work — without the constraints of a full-time position.

- 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 reliability, performance, and safety across production C# codebases

- Identify bottlenecks and edge cases in data and system behavior — then implement scalable, resilient fixes

- Collaborate with data, research, and engineering teams to support model training and evaluation pipelines

- Participate in synchronous design reviews to iterate on architecture and implementation decisions

Who You Are





- Native or fluent English speaker with clear written and verbal communication skills

- Full-stack developer with a strong systems programming background

- 5+ years of professional experience writing production-grade C#

- Proven track record building streaming data pipelines using asynchronous streams and reactive programming patterns

- Experienced optimizing I/O-bound operations and implementing resilient retry policies for distributed data ingestion

- Able to commit 20–40 hours per week with reliability and consistency

Nice to Have

- Prior experience with data annotation, data quality systems, or evaluation pipelines

- Familiarity with AI/ML workflows, model training, or benchmarking infrastructure

- Background in distributed systems architecture or developer tooling

Why Join Us

- Work on cutting-edge AI projects alongside leading research labs doing work that actually matters

- Fully remote and flexible — work when and where it suits you

- Freelance autonomy with the structure of meaningful, ongoing technical work

- Make a direct, tangible impact on the infrastructure shaping the future of AI

- Potential for ongoing work and contract extension as new projects launch

📌 C# Infrastructure Engineer - Data Pipelines (México)
🏢 Alignerr
📍 México