Labelbox

HQ: United States

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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
Apply info ->

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

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