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Labelbox

Systems Software Engineer - Machine Learning Ops

Labelbox, Seattle, Washington, us, 98127

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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++. Experience working with the C++ frontends of ML frameworks or inference runtimes. Familiarity with hardware acceleration APIs for optimizing model inference. 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

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