Labelbox
Senior Python Full-Stack Engineer — AI Data & Infrastructure
Labelbox, Seattle, Washington, us, 98127
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
5+ years of professional experience writing production Python
Strong background in performance optimization and concurrency (e.g., asyncio, multiprocessing, threading) and type safety (e.g., Pydantic, mypy)
Experience building robust backend services (using frameworks like FastAPI or Django) or scalable data pipelines
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
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
5+ years of professional experience writing production Python
Strong background in performance optimization and concurrency (e.g., asyncio, multiprocessing, threading) and type safety (e.g., Pydantic, mypy)
Experience building robust backend services (using frameworks like FastAPI or Django) or scalable data pipelines
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