C# Infrastructure Engineer – Data Pipelines – Denver

last updated December 17, 2025 8:03 UTC

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HQ: United States

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About the Job
Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. We work on real production systems and high-impact research workflows across data, tooling, and infrastructure.
Position
Senior C# Full-Stack Engineer — AI Data & Infrastructure
Type: Contract, Remote Commitment: 20–40 hours/week Compensation: Competitive, hourly (based on experience)
Role Responsibilities
– Design, build, and optimize high-performance systems in C# 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 fixes
– Participate in synchronous reviews to iterate on system design and implementation decisions
Qualifications
Must-Have
Native or fluent English speaker
Full-stack developer experience with a strong systems programming background
– 5+ years of professional experience writing production C#.
– Strong background in building streaming data pipelines using asynchronous streams and reactive programming concepts.
– Experience optimizing I/O-bound operations and implementing resilient retry policies for distributed data ingestion.
– Clear written and verbal communication skills.
– Ability to commit 20–40 hours per week.
Preferred
– 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
Application Process
– Submit your resume
– Complete a short technical screening
– Project matching and onboarding
$50 – $75 an hour
Apply info ->

To apply for this job, please visit jobs.lever.co

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