Company Name: Labelbox

Job Details: $50-$75/hrRemoteContract

Job Url: https://hiring.cafe/viewjob/8uiuw85934y4jw2w

Job Description: Posted 1mo agoPython Software Engineer - AI Workflows@ LabelboxView All JobsWebsiteNew York City, New York, United States$50-$75/hrRemoteContractResponsibilities:Design systems, Build tooling, Improve reliabilityRequirements Summary:Senior Python full-stack engineer with 3-5+ years production Python experience, strong systems programming, English fluency, and 20–40 hours/week availability.Technical Tools Mentioned:Python, APIs, Testing frameworks, Linters
About the JobAlignerr 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.PositionSenior Python Full-Stack Engineer — AI Data & InfrastructureType: 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 decisionsQualificationsMust-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 toolingApplication Process- Submit your resume- Complete a short technical screening- Project matching and onboardingAbout 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