Labelbox
C# Infrastructure Engineer - Data Pipelines
Labelbox, San Francisco, California, United States, 94199
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
#J-18808-Ljbffr
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
#J-18808-Ljbffr