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Senior Python Full-Stack Engineer — AI Data & Infrastructure

Remote / Online - Candidates ideally in
Seattle, King County, Washington, 98127, USA
Listing for: Labelbox
Full Time, Remote/Work from Home position
Listed on 2025-12-27
Job specializations:
  • IT/Tech
    AI Engineer, Data Engineer, Data Scientist, Data Science Manager
Salary/Wage Range or Industry Benchmark: 50 - 75 USD Hourly USD 50.00 75.00 HOUR
Job Description & How to Apply Below

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

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Position Requirements
10+ Years work experience
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