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Principal Python Engineer - ML Infrastructure

Job in Denver, Denver County, Colorado, 80285, USA
Listing for: Alignerr
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    AI Engineer, Systems Engineer, Data Science Manager, Data Analyst
Salary/Wage Range or Industry Benchmark: 50 - 75 USD Hourly USD 50.00 75.00 HOUR
Job Description & How to Apply Below

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This range is provided by Alignerr. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$50.00/hr - $75.00/hr

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, specifically for large-scale infrastructure or platform engineering.
  • Expertise in designing distributed computing systems and managing concurrency with advanced asynchronous patterns.
  • Deep understanding of Python internals (GIL limitations, memory profiling) and experience optimizing performance for compute-heavy workloads.
  • Clear written and verbal communication skills for driving technical strategy and architectural decisions.
  • 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
Seniority level

Mid-Senior level

Employment type

Contract

Job function

Engineering and Information Technology

Industries:
Technology, Information and Internet

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