Labelbox
Python Software Engineer - AI Workflows
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 Python 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 Python 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 Python 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 3-5+ years of professional experience writing production Python Strong ability to write clean, maintainable code utilizing linters, formatters, and comprehensive testing frameworks Experience gluing together various AI services and APIs, handling edge cases, and ensuring robust error reporting 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
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 Python 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 Python 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 Python 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 3-5+ years of professional experience writing production Python Strong ability to write clean, maintainable code utilizing linters, formatters, and comprehensive testing frameworks Experience gluing together various AI services and APIs, handling edge cases, and ensuring robust error reporting 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