Labelbox
Senior Systems Engineer — AI Data & Infrastructure (Remote)
Labelbox, San Francisco, California, United States, 94199
About the role
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 Systems Engineer — AI Data & Infrastructure
(Go, Rust, Python, or C++)
Type:
Contract
Commitment:
20–40 hours/week
Compensation:
Competitive, hourly (based on experience and location)
Role Responsibilities
Design, build, and optimize high-performance systems using Go, Rust, Python, or C++
Develop tooling and backend services for large‑scale data annotation, validation, and evaluation workflows
Build and maintain reliable data pipelines supporting AI training and benchmarking
Improve performance, scalability, and safety across existing codebases
Collaborate with data, research, and engineering teams on model‑facing infrastructure
Identify bottlenecks, edge cases, and failure modes in data and system behavior
Participate in synchronous reviews to iterate on architecture and implementation decisions
Qualifications Must-Have
5+ years of professional experience in Go, Rust, Python, or C++
Strong systems or backend engineering background
Experience building production services, tooling, or data pipelines
Ability to reason about performance, reliability, and correctness
Clear written and verbal communication skills
Ability to commit 20–40 hours per week
Preferred
Experience with data annotation, data quality, or evaluation systems
Familiarity with AI/ML workflows, model training, or benchmarking pipelines
Experience with distributed systems or high‑throughput data processing
Background in developer tooling or internal infrastructure
Application Process
Submit your resume
Complete screening and assessment
Project matching and onboarding
$50 - $75 an hour
#J-18808-Ljbffr
Position Senior Systems Engineer — AI Data & Infrastructure
(Go, Rust, Python, or C++)
Type:
Contract
Commitment:
20–40 hours/week
Compensation:
Competitive, hourly (based on experience and location)
Role Responsibilities
Design, build, and optimize high-performance systems using Go, Rust, Python, or C++
Develop tooling and backend services for large‑scale data annotation, validation, and evaluation workflows
Build and maintain reliable data pipelines supporting AI training and benchmarking
Improve performance, scalability, and safety across existing codebases
Collaborate with data, research, and engineering teams on model‑facing infrastructure
Identify bottlenecks, edge cases, and failure modes in data and system behavior
Participate in synchronous reviews to iterate on architecture and implementation decisions
Qualifications Must-Have
5+ years of professional experience in Go, Rust, Python, or C++
Strong systems or backend engineering background
Experience building production services, tooling, or data pipelines
Ability to reason about performance, reliability, and correctness
Clear written and verbal communication skills
Ability to commit 20–40 hours per week
Preferred
Experience with data annotation, data quality, or evaluation systems
Familiarity with AI/ML workflows, model training, or benchmarking pipelines
Experience with distributed systems or high‑throughput data processing
Background in developer tooling or internal infrastructure
Application Process
Submit your resume
Complete screening and assessment
Project matching and onboarding
$50 - $75 an hour
#J-18808-Ljbffr